{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":16,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":16,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"9257e13f04d6","filters":{"venue":"Annual Review of Vision Science"}},"results":[{"id":"W2732996930","doi":"10.1146/annurev-vision-102016-061422","title":"Neuroprotection in Glaucoma: Animal Models and Clinical Trials","year":2017,"lang":"en","type":"review","venue":"Annual Review of Vision Science","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":112,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"Canadian Institutes of Health Research; National Institutes of Health; Canada Research Chairs; Research to Prevent Blindness","keywords":"Neuroprotection; Glaucoma; Medicine; Optic neuropathy; Optic nerve; Retinal ganglion cell; Neuroscience; Ophthalmology; Intraocular pressure; Blindness; Optometry; Biology; Pharmacology","authors":[{"name":"Mohammadali Almasieh","is_ca":true},{"name":"Leonard A. Levin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2193362486609426,"gpt":0.5557118230777366,"spread":0.336375574416794,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001808043,0.001054358,0.002213089,0.0016509,0.000313638,0.001231193,0.001290526,0.001560677,0.005997927],"category_scores_gemma":[0.001722049,0.0002280507,0.001108928,0.001340895,0.000621169,0.001265822,0.0007573622,0.002157118,0.001978673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000484437,"about_ca_system_score_gemma":0.001060424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005921001,"about_ca_topic_score_gemma":0.001488641,"domain_scores_codex":[0.9996468,0.00008847919,0.00006972477,0.00004856256,0.0001214037,0.00002498792],"domain_scores_gemma":[0.9991522,0.0004254819,0.0001186313,0.00003435031,0.0001951728,0.00007414255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0006193266,0.0002862556,0.0001786231,0.04756606,0.0003070789,0.0002216759,0.00007404523,0.000212019,0.003060216,0.003334037,0.03255172,0.9115889],"study_design_scores_gemma":[0.0005871151,0.001314176,0.00160308,0.02866897,0.001061696,0.001795104,0.0001000747,0.0001705608,0.001785639,0.00470045,0.9581524,0.00006073403],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000174022,0.9986417,0.0000856308,0.0001945944,0.0001565073,0.00002236296,0.00003886584,0.000007540093,0.0006788059],"genre_scores_gemma":[0.001302449,0.9975144,0.0002472608,0.0003157355,0.000165354,0.00004566007,0.00007227502,0.000002844193,0.0003340484],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005997927,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4362458506","doi":"10.1146/annurev-vision-120522-031739","title":"Are Deep Neural Networks Adequate Behavioral Models of Human Visual Perception?","year":2023,"lang":"en","type":"review","venue":"Annual Review of Vision Science","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":69,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Google (Canada)","funders":"Deutsche Forschungsgemeinschaft","keywords":"Computer science; Artificial intelligence; CLARITY; Perception; Cognitive neuroscience of visual object recognition; Computational model; Object (grammar); Machine learning; Deep neural networks; Artificial neural network; Psychology; Neuroscience","authors":[{"name":"Felix A. Wichmann","is_ca":false},{"name":"Robert Geirhos","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2077491452195851,"gpt":0.5099567036521657,"spread":0.3022075584325806,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001125997,0.0006992488,0.0007843531,0.0009527026,0.000173821,0.001135385,0.001396724,0.001387425,0.002100624],"category_scores_gemma":[0.002233292,0.0002640875,0.0003218628,0.0006786146,0.001110838,0.002658989,0.0005032622,0.002019439,0.001531304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009855659,"about_ca_system_score_gemma":0.001381451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001747871,"about_ca_topic_score_gemma":0.001798823,"domain_scores_codex":[0.9998171,0.00004017032,0.00002075775,0.00004209179,0.0000648526,0.00001511021],"domain_scores_gemma":[0.9992218,0.0004811763,0.00005536396,0.00002914153,0.000174851,0.00003764065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008092028,0.00003755957,0.0003845871,0.008349534,0.0001136667,0.00009430372,0.00009652266,0.00209113,0.001354662,0.07912507,0.02131626,0.8869558],"study_design_scores_gemma":[0.00002311633,0.0001055686,0.001383841,0.006226283,0.0001806172,0.0007177434,0.0001245007,0.002344025,0.001497597,0.121447,0.8658989,0.00005087473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005373739,0.9857103,0.004315268,0.003845361,0.0004289401,0.000008068393,0.0000636778,0.00003552609,0.005055518],"genre_scores_gemma":[0.0055709,0.9896767,0.0019935,0.001134791,0.0004070737,0.00001904099,0.00007911214,0.000008630362,0.001110377],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002100624,"threshold_uncertainty_score":0.007150769,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4281618871","doi":"10.1146/annurev-vision-100720-125029","title":"Eye Movements as a Window into Decision-Making","year":2022,"lang":"en","type":"review","venue":"Annual Review of Vision Science","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":62,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Killam Trusts","keywords":"Eye movement; Task (project management); Cognition; Eye tracking; Cognitive psychology; Psychology; Duration (music); Outcome (game theory); Decision process; Decision-making; Computer science; Sensory system; Artificial intelligence; Neuroscience; Management science; Engineering; Operations management","authors":[{"name":"Miriam Spering","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1450585172752659,"gpt":0.5432541578827709,"spread":0.398195640607505,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007092684,0.0008172196,0.001035875,0.001591139,0.0002520875,0.001364645,0.0009599705,0.001349921,0.00327978],"category_scores_gemma":[0.001293946,0.0002945244,0.0005366855,0.001173804,0.0009997521,0.001706209,0.0008333772,0.001819388,0.001503101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008627623,"about_ca_system_score_gemma":0.0009489282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001393121,"about_ca_topic_score_gemma":0.001199186,"domain_scores_codex":[0.9996628,0.00008261437,0.00003514692,0.00008207768,0.0001091233,0.00002818984],"domain_scores_gemma":[0.9994082,0.000371184,0.00007849202,0.00001943763,0.00008947655,0.00003314243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002145852,0.00005770985,0.0006238495,0.01301711,0.0001567332,0.0002095458,0.0001692513,0.0006054681,0.006639093,0.01573319,0.01308548,0.9494879],"study_design_scores_gemma":[0.00005206451,0.0003044155,0.01043184,0.007278822,0.0002663379,0.001869883,0.0001446522,0.0003739547,0.003740702,0.02322565,0.9522254,0.00008625779],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003859644,0.9964566,0.0006092288,0.0004777866,0.0001603439,0.000004615681,0.00002980422,0.00001728618,0.001858312],"genre_scores_gemma":[0.006364431,0.9915447,0.0005075416,0.0003483992,0.000337315,0.00001385788,0.00006032633,0.000005493191,0.0008179034],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00327978,"threshold_uncertainty_score":0.01097196,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3087546788","doi":"10.1146/annurev-vision-121219-081737","title":"Minimally Invasive Glaucoma Surgery: A Critical Appraisal of the Literature","year":2020,"lang":"en","type":"review","venue":"Annual Review of Vision Science","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Glaucoma; Glaucoma surgery; Trabeculectomy; Schlemm's canal; Intraocular pressure; Gonioscopy; Bleb (medicine); Surgery; Trabecular meshwork; Ophthalmology","authors":[{"name":"David J. Mathew","is_ca":true},{"name":"Yvonne M. Buys","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02272490675038013,"gpt":0.4004293774757134,"spread":0.3777044707253333,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002407432,0.001309089,0.002922962,0.01068758,0.0005707621,0.00178706,0.001604764,0.001301254,0.006532905],"category_scores_gemma":[0.005534937,0.0005916855,0.002302829,0.00930409,0.0006038889,0.002397629,0.0009697926,0.001303428,0.001159542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534935,"about_ca_system_score_gemma":0.00433663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002649173,"about_ca_topic_score_gemma":0.006097426,"domain_scores_codex":[0.9990121,0.0001826088,0.0003300676,0.0001153245,0.0003095888,0.00005018779],"domain_scores_gemma":[0.9957511,0.002767945,0.0005916233,0.00006665586,0.0007224307,0.0001002542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001745388,0.00005946611,0.0006454859,0.3107873,0.0008303932,0.0005341821,0.0002512888,0.0003224856,0.0004675826,0.001493474,0.03758802,0.6468458],"study_design_scores_gemma":[0.00008658284,0.0002524338,0.005276636,0.3189455,0.005582412,0.004590533,0.0005621307,0.000222322,0.0002819717,0.002540837,0.6615698,0.00008890819],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007328236,0.9993889,0.00002773355,0.0002003376,0.0001191659,0.000007033077,0.00002220064,0.000002665252,0.0001586867],"genre_scores_gemma":[0.0004662665,0.9990324,0.00009125677,0.0001796847,0.0001280469,0.000009709004,0.00002873626,9.246783e-7,0.00006284512],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01068758,"threshold_uncertainty_score":0.02185476,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2890896355","doi":"10.1146/annurev-vision-091517-034110","title":"Shape from Contour: Computation and Representation","year":2018,"lang":"en","type":"review","venue":"Annual Review of Vision Science","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial intelligence; Discriminative model; Feed forward; Gestalt psychology; Computer science; Computer vision; Pattern recognition (psychology); Curvature; Computation; Clutter; Cognitive neuroscience of visual object recognition; Generative model; Generative grammar; Perception; Object (grammar); Mathematics; Algorithm; Geometry; Psychology","authors":[{"name":"James H. Elder","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1392768284667992,"gpt":0.4999190796212996,"spread":0.3606422511545004,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003842888,0.0007588157,0.0007106927,0.001640722,0.0002495866,0.002386593,0.001266603,0.00145559,0.004649122],"category_scores_gemma":[0.001226574,0.0004204882,0.0004545061,0.002146817,0.00193581,0.002905598,0.001041099,0.001737364,0.002455162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009873309,"about_ca_system_score_gemma":0.00156816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001845903,"about_ca_topic_score_gemma":0.00125536,"domain_scores_codex":[0.9998648,0.00001931086,0.00001242411,0.000037455,0.00005553839,0.00001047029],"domain_scores_gemma":[0.9997341,0.000122716,0.00003035739,0.00002866444,0.00005867813,0.00002553749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003051217,0.00002056635,0.0002154403,0.004091957,0.00005418389,0.00008273993,0.0001050312,0.00170077,0.001676555,0.08545212,0.02130764,0.8852624],"study_design_scores_gemma":[0.000009157518,0.00003230038,0.001343639,0.002189715,0.00004512469,0.0009380031,0.00009544957,0.001787846,0.001343521,0.1278755,0.8642944,0.00004537248],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008878756,0.9764106,0.01094824,0.001572113,0.0005704758,0.00001880167,0.0001352935,0.00009634789,0.009360252],"genre_scores_gemma":[0.008433047,0.9843922,0.003221465,0.0003236287,0.0007004621,0.00002819461,0.0002269176,0.00003353498,0.002640624],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004649122,"threshold_uncertainty_score":0.01555288,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3031671879","doi":"10.1146/annurev-vision-121219-081745","title":"Rethinking Space: A Review of Perception, Attention, and Memory in Scene Processing","year":2020,"lang":"en","type":"review","venue":"Annual Review of Vision Science","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Perception; Computer science; Spatial analysis; Space (punctuation); Information processing; Field (mathematics); Spatial relation; Semantic memory; Spatial organization; Spatial contextual awareness; Artificial intelligence; Computer vision; Human–computer interaction; Cognitive psychology; Geography; Psychology; Cognition","authors":[{"name":"Monica S. Castelhano","is_ca":true},{"name":"Karolina Krzyś","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0364137697743269,"gpt":0.4070459175622775,"spread":0.3706321477879506,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00114438,0.0009911956,0.001494639,0.003420082,0.0004400933,0.001525069,0.001320253,0.002044563,0.003540338],"category_scores_gemma":[0.00244652,0.0004173009,0.0005994427,0.003836188,0.0014272,0.003924393,0.001035576,0.002336601,0.001910721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327926,"about_ca_system_score_gemma":0.00219766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003385995,"about_ca_topic_score_gemma":0.004685751,"domain_scores_codex":[0.9996977,0.00007887252,0.00004375655,0.00005760606,0.00009390491,0.00002825394],"domain_scores_gemma":[0.9983395,0.001138068,0.00010083,0.0000383706,0.0002965074,0.00008673854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008009465,0.00006073432,0.0002743416,0.02108227,0.00012073,0.0001153814,0.000214261,0.0003419205,0.0009241139,0.01279295,0.05102991,0.9129633],"study_design_scores_gemma":[0.00001715292,0.0001050075,0.001884094,0.00876655,0.0001567309,0.0007138344,0.0001501282,0.0001353695,0.0002637026,0.0126531,0.9751119,0.00004243429],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005197971,0.9987528,0.0001363189,0.0004598764,0.0001857178,0.00000179477,0.000006194667,0.000003547771,0.0004018311],"genre_scores_gemma":[0.0004665038,0.9982991,0.0001414637,0.0003556611,0.0005098991,0.000005126713,0.00001254262,0.000001886086,0.0002079061],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003540338,"threshold_uncertainty_score":0.01184362,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4282933246","doi":"10.1146/annurev-vision-100720-031711","title":"Visual Attention in the Prefrontal Cortex","year":2022,"lang":"en","type":"review","venue":"Annual Review of Vision Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Prefrontal cortex; Neuroscience; Psychology; Cognitive psychology; N2pc; Visual processing; Sulcus; Visual cortex; Visual perception; Perception; Cognition","authors":[{"name":"Julio Martínez-Trujillo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05447255718451113,"gpt":0.4212497197872886,"spread":0.3667771626027775,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003381831,0.0006667093,0.0006596838,0.001514148,0.0002639103,0.0009923948,0.0007888689,0.001285035,0.002883586],"category_scores_gemma":[0.0004843034,0.0002142599,0.0003235537,0.001380463,0.0007171821,0.00116117,0.0005975429,0.001147901,0.001917863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001133329,"about_ca_system_score_gemma":0.001393445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002944702,"about_ca_topic_score_gemma":0.002662829,"domain_scores_codex":[0.9998871,0.00001942055,0.00001154305,0.00003115488,0.0000335508,0.00001727491],"domain_scores_gemma":[0.9998876,0.00004596068,0.0000187993,0.000004043161,0.00002992622,0.00001360406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006646681,0.00002704555,0.0002393964,0.00904203,0.00008442602,0.0002788615,0.0000925086,0.0005317723,0.002877442,0.01111527,0.02172743,0.9539174],"study_design_scores_gemma":[0.0000239651,0.0001038282,0.004245827,0.003810732,0.0001163775,0.002701095,0.00008320955,0.0001660026,0.0009946488,0.01357818,0.9741403,0.00003575714],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002143012,0.9975177,0.0002054764,0.000327035,0.0001669822,0.000003376522,0.00001590083,0.000007843456,0.001541431],"genre_scores_gemma":[0.002938999,0.995242,0.0001388481,0.0002442202,0.0003711782,0.000008641605,0.00003471872,0.0000023353,0.001019072],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002944702,"threshold_uncertainty_score":0.009646535,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4366137438","doi":"10.1146/annurev-vision-120222-014200","title":"Perception and Memory in the Ventral Visual Stream and Medial Temporal Lobe","year":2023,"lang":"en","type":"review","venue":"Annual Review of Vision Science","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Temporal lobe; Perception; Cognitive psychology; Vision for perception and vision for action; Psychology; Cognition; Visual memory; Semantic memory; Visual perception; Episodic memory; Neuroscience; Cognitive science","authors":[{"name":"Chris B. Martin","is_ca":false},{"name":"Morgan D. Barense","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1234769114154935,"gpt":0.469830311482627,"spread":0.3463534000671336,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005249642,0.0009479784,0.001170466,0.002283051,0.0002982657,0.001304623,0.001174256,0.001530399,0.003577034],"category_scores_gemma":[0.0006977032,0.0002414166,0.000425662,0.001999717,0.001247608,0.002160473,0.0008821258,0.001424314,0.002589561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007944317,"about_ca_system_score_gemma":0.001606396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001862841,"about_ca_topic_score_gemma":0.001926173,"domain_scores_codex":[0.9998713,0.00002000085,0.00002041569,0.00003390056,0.00003797519,0.00001638749],"domain_scores_gemma":[0.9997861,0.00009533711,0.00003556194,0.000008233419,0.00005148961,0.00002330306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006867482,0.00002831478,0.0002386292,0.01123966,0.00007002131,0.000184247,0.0001150541,0.0002220835,0.001456782,0.01085149,0.01439972,0.9611254],"study_design_scores_gemma":[0.00001465153,0.0001045623,0.003060968,0.005816507,0.0001246269,0.002919359,0.0001470055,0.00008382178,0.0006001136,0.01281871,0.9742769,0.00003277353],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001120993,0.9982474,0.0001676423,0.0002507973,0.00012017,0.00000319571,0.00001291477,0.000006542767,0.001079183],"genre_scores_gemma":[0.0007630886,0.998252,0.0001620239,0.0001487784,0.0001755114,0.000006586294,0.00002197738,0.000001553716,0.0004685358],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003577034,"threshold_uncertainty_score":0.01196635,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2564767257","doi":"10.1146/annurev-vision-090721-110411","title":"Critical Periods in Vision Revisited","year":2022,"lang":"en","type":"review","venue":"Annual Review of Vision Science","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; Dalhousie University","funders":"Canadian Institutes of Health Research","keywords":"Visual cortex; Neuroscience; Neural activity; CATS; Psychology; Computer science","authors":[{"name":"Donald E. Mitchell","is_ca":true},{"name":"Daphne Maurer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.144993080994388,"gpt":0.5071927315373977,"spread":0.3621996505430097,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007545441,0.001129352,0.00133283,0.001963779,0.000631612,0.001619893,0.00171147,0.002789181,0.003050109],"category_scores_gemma":[0.0009099797,0.000256657,0.0005379207,0.001468736,0.002900801,0.0042208,0.001531283,0.003932729,0.001899051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00205081,"about_ca_system_score_gemma":0.002027876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002600658,"about_ca_topic_score_gemma":0.002441281,"domain_scores_codex":[0.9997916,0.00004311189,0.00001990509,0.00005614936,0.0000586353,0.00003060168],"domain_scores_gemma":[0.999663,0.0001842634,0.00003192154,0.0000110507,0.00007048312,0.00003934258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001562506,0.00004786444,0.0002137494,0.01144907,0.00006981538,0.0004808088,0.0005708176,0.0005648101,0.002046689,0.1126493,0.09022091,0.78153],"study_design_scores_gemma":[0.000008720572,0.00006286937,0.000704973,0.003521506,0.00002893338,0.001440559,0.0001876682,0.00007248929,0.000291112,0.03370505,0.9599564,0.00001973797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007251732,0.997649,0.00009009053,0.0007076512,0.0005062743,8.280806e-7,0.000003804194,0.000004728583,0.000965121],"genre_scores_gemma":[0.002042465,0.9941072,0.0000994639,0.001208716,0.001377858,0.000004796611,0.00001151562,0.000003328611,0.001144672],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003050109,"threshold_uncertainty_score":0.01487976,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4328052419","doi":"10.1146/annurev-vision-111022-123909","title":"What Is a Preferred Retinal Locus?","year":2023,"lang":"en","type":"review","venue":"Annual Review of Vision Science","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Western Hospital; University of Toronto; University Health Network","funders":"","keywords":"Monocular; Retinal; Binocular vision; Optometry; Locus (genetics); Psychology; Neuroscience; Computer science; Medicine; Computer vision; Ophthalmology; Biology; Genetics; Gene","authors":[{"name":"Luminita Tarita‐Nistor","is_ca":true},{"name":"Irina Sverdlichenko","is_ca":true},{"name":"Mark S. Mandelcorn","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03678757400739378,"gpt":0.4174769389938862,"spread":0.3806893649864924,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000723223,0.0007141566,0.001563636,0.002322982,0.0004128463,0.001487678,0.0009231234,0.00159692,0.002356226],"category_scores_gemma":[0.001646598,0.0002548902,0.0005431478,0.001349292,0.00137389,0.002893802,0.0007719506,0.001749292,0.001279894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008844955,"about_ca_system_score_gemma":0.001486906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00242089,"about_ca_topic_score_gemma":0.002147303,"domain_scores_codex":[0.9997147,0.00006327854,0.00005669796,0.00006273505,0.00007363745,0.00002894993],"domain_scores_gemma":[0.99962,0.0001923243,0.00006058815,0.00001301528,0.00008330999,0.00003087224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008520835,0.00002583602,0.0007922022,0.01590149,0.0001083705,0.00103177,0.0001752933,0.0001855681,0.00142033,0.0128378,0.02657504,0.940861],"study_design_scores_gemma":[0.00002636761,0.0001342325,0.003305655,0.01208857,0.0002562891,0.02097962,0.0004931943,0.0001311786,0.001107265,0.01069197,0.9507177,0.00006799981],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001258123,0.9980413,0.0001791763,0.0006670988,0.0002532755,0.000002868852,0.00001217939,0.00000454509,0.0007137604],"genre_scores_gemma":[0.001581455,0.9971032,0.0002195082,0.0004352804,0.0003131159,0.000005299476,0.00002324713,0.000001651538,0.0003171922],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00242089,"threshold_uncertainty_score":0.007882357,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3175114354","doi":"10.1146/annurev-vision-093019-115159","title":"Lightness Perception in Complex Scenes","year":2021,"lang":"en","type":"review","venue":"Annual Review of Vision Science","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lightness; Perception; Artificial intelligence; Achromatic lens; Brightness; Computer science; Visual perception; Vision science; Computer vision; Cognitive psychology; Psychology; Optics; Physics","authors":[{"name":"Richard Murray","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1636538154157683,"gpt":0.5035815658727334,"spread":0.339927750456965,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004445808,0.0007406006,0.0007940385,0.001535573,0.000311355,0.001654374,0.0009694618,0.001413849,0.003572876],"category_scores_gemma":[0.001111124,0.0002578788,0.0005180405,0.001184046,0.001191287,0.002571702,0.0009505846,0.001509728,0.001624955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008340278,"about_ca_system_score_gemma":0.0008273752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001851159,"about_ca_topic_score_gemma":0.001493157,"domain_scores_codex":[0.9997897,0.00002850204,0.00001576634,0.00007091827,0.00007887609,0.00001631259],"domain_scores_gemma":[0.99967,0.0001739096,0.00003851844,0.00001749305,0.00007716883,0.00002281774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005398156,0.00004015641,0.0004596754,0.007125138,0.0000881848,0.0001548038,0.0002142287,0.000646573,0.004841418,0.05492353,0.01567505,0.9157772],"study_design_scores_gemma":[0.00001462925,0.0001186993,0.006372796,0.004252339,0.0001336112,0.002648655,0.0002450357,0.0008647413,0.003188993,0.08397425,0.8981052,0.00008099601],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001157061,0.982096,0.005035221,0.001126011,0.0003555533,0.00001610629,0.00007030391,0.00006214858,0.01008155],"genre_scores_gemma":[0.00800889,0.986564,0.002133639,0.0005639251,0.0004270893,0.00002096045,0.0000888161,0.00001661274,0.002176092],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003572876,"threshold_uncertainty_score":0.01195246,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3190691568","doi":"10.1146/annurev-vision-100419-120301","title":"Quantifying Visual Image Quality: A Bayesian View","year":2021,"lang":"en","type":"review","venue":"Annual Review of Vision Science","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Vision science; Artificial intelligence; Image quality; Data science; Computer graphics; Image processing; Human visual system model; Quality (philosophy); Graphics; Bayesian probability; Bridging (networking); Machine vision; Human–computer interaction; Machine learning; Image (mathematics); Computer graphics (images)","authors":[{"name":"Zhengfang Duanmu","is_ca":true},{"name":"Wentao Liu","is_ca":true},{"name":"Zhongling Wang","is_ca":true},{"name":"Zhou Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.112843283201557,"gpt":0.5393167826659025,"spread":0.4264734994643455,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005463286,0.001432844,0.002157922,0.006616935,0.0004018216,0.003294658,0.002756325,0.002687971,0.002714211],"category_scores_gemma":[0.01194993,0.0009369678,0.00108299,0.004078247,0.003665652,0.005613266,0.001770024,0.003379891,0.001304352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003010995,"about_ca_system_score_gemma":0.002506061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006989682,"about_ca_topic_score_gemma":0.00437639,"domain_scores_codex":[0.9977266,0.0006527889,0.0001636208,0.0003552086,0.001037458,0.00006420554],"domain_scores_gemma":[0.9938829,0.003967535,0.0003819555,0.0002561809,0.001393624,0.0001177677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000547055,0.00004957941,0.00115955,0.005545058,0.0002934373,0.00009255642,0.0002048843,0.005895462,0.00171358,0.1472788,0.01277734,0.8249351],"study_design_scores_gemma":[0.00004122596,0.0002290807,0.006344718,0.008854553,0.0005843333,0.002754753,0.000358795,0.0215847,0.004703983,0.4364126,0.5178085,0.0003228534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008815225,0.8648311,0.117856,0.004746944,0.0004626289,0.00005557053,0.0001683387,0.0001433207,0.01085445],"genre_scores_gemma":[0.03346514,0.9089519,0.05102313,0.001839009,0.001354522,0.0001633293,0.0002421307,0.00007463909,0.00288627],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006989682,"threshold_uncertainty_score":0.02889299,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400179394","doi":"10.1146/annurev-vision-112823-030616","title":"The Quest for an Integrated Set of Neural Mechanisms Underlying Object Recognition in Primates","year":2024,"lang":"en","type":"review","venue":"Annual Review of Vision Science","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Cognitive science; Categorization; Computer science; Viewpoints; Set (abstract data type); Artificial intelligence; Object (grammar); Neuroscience; Psychology","authors":[{"name":"Kohitij Kar","is_ca":true},{"name":"James J. DiCarlo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2275960227845752,"gpt":0.5005818840527992,"spread":0.2729858612682241,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004577691,0.0006427529,0.0006937443,0.001592274,0.0002946466,0.0008637449,0.0008521224,0.001262736,0.002551414],"category_scores_gemma":[0.0007290387,0.0002452418,0.0002868191,0.001324463,0.0008643442,0.001722077,0.0006337938,0.00168844,0.002172177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007348655,"about_ca_system_score_gemma":0.001267104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00155324,"about_ca_topic_score_gemma":0.002074622,"domain_scores_codex":[0.9999009,0.00001313701,0.00001177069,0.0000257788,0.00003712183,0.00001128734],"domain_scores_gemma":[0.9997684,0.0001010996,0.00002554085,0.000009131142,0.00007073022,0.00002521189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000431821,0.00003141577,0.000143215,0.007810806,0.00004321366,0.0001237805,0.00006884823,0.000484145,0.001772951,0.01609191,0.0246779,0.9487087],"study_design_scores_gemma":[0.000006778307,0.00005281703,0.0007962852,0.00218828,0.00005019804,0.0006677777,0.00006203895,0.0001115388,0.0004479235,0.01224337,0.9833552,0.00001782831],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001172873,0.9971877,0.0002840544,0.0005770125,0.0001852646,0.000002503049,0.00001267777,0.0000102302,0.001623322],"genre_scores_gemma":[0.0007041613,0.9980382,0.000229645,0.0002411821,0.0002016942,0.000004101747,0.00001797736,0.000001903963,0.0005611794],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002551414,"threshold_uncertainty_score":0.008535326,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2949263932","doi":"10.1146/annurev-vision-091718-015018","title":"Methods for Assessing Quantity and Quality of Illumination","year":2019,"lang":"en","type":"review","venue":"Annual Review of Vision Science","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Quality (philosophy); Key (lock); Photometry (optics); Artificial intelligence; Computer vision; Computer security; Physics","authors":[{"name":"Aurélien David","is_ca":false},{"name":"Kevin Smet","is_ca":false},{"name":"Lorne Whitehead","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1663274792416292,"gpt":0.6095504207762733,"spread":0.4432229415346441,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005023061,0.002728373,0.003442348,0.01078895,0.0007423915,0.003759217,0.003658922,0.003136335,0.008862999],"category_scores_gemma":[0.008686335,0.001045323,0.001985527,0.006687702,0.00299679,0.004247367,0.002417329,0.003472636,0.00667609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003050545,"about_ca_system_score_gemma":0.002290755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005521124,"about_ca_topic_score_gemma":0.004813575,"domain_scores_codex":[0.9956462,0.0008443063,0.000313879,0.0009255371,0.002122404,0.0001475501],"domain_scores_gemma":[0.9948825,0.002378053,0.0006364398,0.0003518281,0.001649588,0.000101628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009738929,0.00007299466,0.00214484,0.01954366,0.0002974082,0.0001299418,0.0001873461,0.001222709,0.009377241,0.02613668,0.02571152,0.9150781],"study_design_scores_gemma":[0.00002553244,0.0001790108,0.006880229,0.008283875,0.0004439963,0.002019591,0.0003899977,0.003040911,0.01576935,0.02922219,0.9333913,0.0003540465],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008364479,0.9477353,0.03596194,0.001240471,0.001408229,0.0001783952,0.0008176671,0.0003379172,0.01148358],"genre_scores_gemma":[0.01253329,0.9449087,0.03307446,0.001050831,0.0009384816,0.0005186493,0.0008764373,0.000143411,0.005955688],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01078895,"threshold_uncertainty_score":0.02964967,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3133206434","doi":"10.1146/annurev-vision-093019-115521","title":"Mobile Computational Photography: A Tour","year":2021,"lang":"en","type":"preprint","venue":"Annual Review of Vision Science","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Photography; Computer science; Parallels; Mobile phone; Computational photography; Camera phone; Multimedia; Computer graphics (images); Computer vision; Key (lock); Artificial intelligence; Image processing; Visual arts; Telecommunications; Art; Image (mathematics); Engineering; Computer security","authors":[{"name":"Mauricio Delbracio","is_ca":false},{"name":"Damien P. Kelly","is_ca":false},{"name":"Michael S. Brown","is_ca":true},{"name":"Peyman Milanfar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01573272124592928,"gpt":0.3904407933647144,"spread":0.3747080721187852,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005433614,0.0009666737,0.0005039474,0.00217993,0.0007433808,0.003285473,0.0008202938,0.001701587,0.03327072],"category_scores_gemma":[0.001239336,0.0006606933,0.0005271354,0.002057325,0.001156579,0.00563546,0.001423737,0.003577942,0.01940628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527337,"about_ca_system_score_gemma":0.0008348778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00180076,"about_ca_topic_score_gemma":0.002659778,"domain_scores_codex":[0.9997565,0.00005108632,0.00001703884,0.00006744089,0.00008369304,0.00002428806],"domain_scores_gemma":[0.9994515,0.0002574232,0.00002434218,0.00005818228,0.0001285962,0.00008010356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006781993,0.00005291012,0.0003958388,0.001057401,0.00002254598,0.0001892978,0.0003257782,0.000855279,0.001252443,0.09533555,0.5687277,0.3317175],"study_design_scores_gemma":[0.000004164501,0.0000173352,0.0003200482,0.000324774,0.000003300457,0.0002622638,0.0001089898,0.0004168347,0.0001387826,0.01569596,0.9826955,0.00001217848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002638371,0.7299799,0.03183288,0.0273196,0.01052432,0.00009031411,0.0007697658,0.001550927,0.195294],"genre_scores_gemma":[0.02203616,0.6560827,0.03932936,0.0103261,0.02598965,0.0001910933,0.001535017,0.001188254,0.2433217],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03327072,"threshold_uncertainty_score":0.1113017,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399599171","doi":"10.1146/annurev-vision-103023-012730","title":"Using Illusions to Track the Emergence of Visual Perception","year":2024,"lang":"en","type":"review","venue":"Annual Review of Vision Science","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Illusion; Perception; Optical illusion; Cognitive psychology; Visual perception; Psychology; Neuroscience","authors":[{"name":"Patrick Cavanagh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.177400909128393,"gpt":0.5333677043198535,"spread":0.3559667951914605,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001182265,0.001168578,0.001277252,0.003921184,0.0004054196,0.002022315,0.001448391,0.002300972,0.003300086],"category_scores_gemma":[0.002383306,0.000451102,0.0007331116,0.002075213,0.002643225,0.004117159,0.001418859,0.003977697,0.001751133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001472778,"about_ca_system_score_gemma":0.001505904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002060469,"about_ca_topic_score_gemma":0.001994973,"domain_scores_codex":[0.9995647,0.00009069739,0.00005146181,0.00009700574,0.0001645385,0.00003158627],"domain_scores_gemma":[0.9987471,0.000801307,0.0001189682,0.0000579974,0.0002241994,0.00005044349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007053436,0.00004685669,0.0005425401,0.01471739,0.0001391823,0.0002253682,0.0003738625,0.0003438629,0.003314778,0.03977986,0.01740375,0.9230421],"study_design_scores_gemma":[0.00002044783,0.0001425562,0.00472988,0.01198767,0.0002157308,0.003635788,0.0004304787,0.0003876513,0.003263609,0.06434797,0.9107211,0.0001171807],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001711204,0.9958851,0.0009503915,0.0006343742,0.0002882342,0.000006776565,0.00001637023,0.00002275551,0.002024889],"genre_scores_gemma":[0.002869585,0.9945152,0.0008966975,0.0005645676,0.0003789059,0.00001539227,0.00003102014,0.000009814255,0.0007188814],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003921184,"threshold_uncertainty_score":0.01103991,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}