{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":7,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":7,"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"},"query_hash":"e49c55341603","filters":{"venue":"Network Computation in Neural Systems"}},"results":[{"id":"W1969416477","doi":"10.1088/0954-898x_11_1_302","title":"Learning with two sites of synaptic integration","year":2000,"lang":"en","type":"article","venue":"Network Computation in Neural Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":104,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; University of Lethbridge","keywords":"Neuroscience; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.01935416314428786,"gpt":0.248608638843114,"spread":0.2292544756988262,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001759737,0.0001202753,0.0001890274,0.00007524971,0.0000956423,0.00006182411,0.00008290419,0.00003988591,0.00002542543],"category_scores_gemma":[0.00003432328,0.00009638397,0.00002934446,0.0006047817,0.00004741179,0.0001838858,0.00001000496,0.0002074754,0.00001649518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003390125,"about_ca_system_score_gemma":0.0000100397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009396517,"about_ca_topic_score_gemma":0.00003865601,"domain_scores_codex":[0.9986078,0.0003251258,0.000345364,0.0002701536,0.0002562205,0.0001953892],"domain_scores_gemma":[0.999363,0.0003154304,0.0001645902,0.00007884771,0.00004441338,0.00003368744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008960971,0.00001823605,0.003770044,0.00001724027,0.000002164874,0.000008265715,0.00008534834,0.970479,0.007140833,0.0005808723,0.00004010344,0.0177683],"study_design_scores_gemma":[0.0004005563,0.000374731,0.002467869,0.00009988373,0.000004534167,0.00004562159,0.00003202709,0.9960518,0.0002042997,0.0001278065,0.00008527165,0.0001055954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951564,0.00004501532,0.002402193,0.00005793602,0.0003095043,0.0003122299,9.823559e-7,0.00007863857,0.001637102],"genre_scores_gemma":[0.9993685,0.00001059416,0.00008744808,0.00006654304,0.0001358459,0.00001749408,0.00001270421,0.00001275871,0.0002881049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02557283,"threshold_uncertainty_score":0.3930424,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2145784841","doi":"10.1088/0954-898x_14_2_308","title":"Modular organization of adaptive colouration in flounder and cuttlefish revealed by independent component analysis","year":2003,"lang":"en","type":"article","venue":"Network Computation in Neural Systems","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Camouflage; Cuttlefish; Independent component analysis; Modularity (biology); Modular design; Component (thermodynamics); Independence (probability theory); FastICA; Artificial intelligence; Computer science; Pattern recognition (psychology); Biology; Evolutionary biology; Mathematics; Fishery; Statistics; Blind signal separation; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01098015979369615,"gpt":0.2312266344004222,"spread":0.220246474606726,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007765661,0.0001369173,0.000340482,0.0003292805,0.00005619215,0.0001248,0.0001635595,0.0001067057,0.000001996761],"category_scores_gemma":[0.00003230794,0.0001476249,0.00003031889,0.00252634,0.00002531217,0.0003939393,0.00004616557,0.0001400548,9.03196e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001236569,"about_ca_system_score_gemma":0.00003310829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002030566,"about_ca_topic_score_gemma":0.0001109205,"domain_scores_codex":[0.9976237,0.0008697697,0.000656524,0.0003497006,0.000327368,0.0001729308],"domain_scores_gemma":[0.9990655,0.0001574867,0.0003522946,0.0001735512,0.0002050828,0.00004604216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005333502,0.00005260039,0.05920789,0.00001276297,0.00002881493,0.000001833117,0.0005874,0.9248663,0.0002125673,0.01462703,0.0001787852,0.0002187532],"study_design_scores_gemma":[0.0003941189,0.00006104339,0.08144858,0.00002833752,0.00001323998,0.000005359412,0.00008529164,0.9171081,0.00005794508,0.000643522,0.00002429112,0.0001302222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3639321,0.0001667848,0.6351743,0.00007881422,0.0001056038,0.0003958907,0.000001303898,0.0000563983,0.00008883078],"genre_scores_gemma":[0.9945832,0.00001737886,0.005229687,0.00007251034,0.00001349432,0.000023282,0.00003700238,0.000009478525,0.00001399561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6306511,"threshold_uncertainty_score":0.6019969,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2167220163","doi":"10.3109/0954898x.2014.990064","title":"A review of methods for identifying stochastic resonance in simulations of single neuron models","year":2015,"lang":"en","type":"review","venue":"Network Computation in Neural Systems","topic":"stochastic dynamics and bifurcation","field":"Physics and Astronomy","cited_by":21,"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":"Stochastic resonance; Computer science; Statistical physics; Artificial intelligence; Physics; Noise (video)","retraction":null,"screen_n_in":null,"score":{"opus":0.1768116563709483,"gpt":0.4403118850173497,"spread":0.2635002286464014,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009065484,0.0002427879,0.001527125,0.0001851254,0.00002535721,0.00002082333,0.0001783191,0.00008260016,9.656576e-7],"category_scores_gemma":[0.0000407962,0.0002315099,0.0002195243,0.0008172719,0.00002320059,0.00009640032,0.00004622582,0.000158603,3.452457e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000919115,"about_ca_system_score_gemma":0.000125403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001068184,"about_ca_topic_score_gemma":0.000004248209,"domain_scores_codex":[0.9972183,0.0004905137,0.001624799,0.0003109318,0.000145221,0.0002102695],"domain_scores_gemma":[0.9972703,0.0008723495,0.001353442,0.0001925361,0.0002741464,0.00003720076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003019722,0.00003241036,0.00000188902,0.01945451,0.00001077986,3.462777e-8,0.00002055903,0.6288643,1.491012e-7,0.0009705626,0.00005754512,0.3505843],"study_design_scores_gemma":[0.0002210435,0.00004643854,0.000001435845,0.1019375,0.0001197947,9.244892e-7,0.000007790727,0.8886708,9.299381e-9,0.002398078,0.006446424,0.0001497583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002585156,0.5400788,0.4580615,0.000001703218,0.000391595,0.001392963,0.00004041996,0.000004476436,0.00002594017],"genre_scores_gemma":[0.05989116,0.9130093,0.02158436,0.00002770003,0.00167479,0.001534877,0.002016409,0.0002121871,0.00004922306],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4364771,"threshold_uncertainty_score":0.9440699,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2530194502","doi":"10.1080/0954898x.2016.1219411","title":"Models of the electrically stimulated binaural system: A review","year":2016,"lang":"en","type":"review","venue":"Network Computation in Neural Systems","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Canada Research Chairs; Deutsche Forschungsgemeinschaft","keywords":"Binaural recording; Sensitivity (control systems); Computer science; Sound localization; Neurophysiology; Psychoacoustics; Audiology; Cochlear implant; Auditory system; Speech recognition; Psychology; Neuroscience; Medicine; Electronic engineering; Perception; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0745386589735506,"gpt":0.334103537136496,"spread":0.2595648781629454,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000792782,0.0003756602,0.001752525,0.0001458084,0.0001269783,0.00005069364,0.0005376599,0.0002482975,0.000002071634],"category_scores_gemma":[0.0002666895,0.0001992127,0.0004598702,0.00191447,0.00008484571,0.0001301218,0.0001031586,0.0003996812,0.00002389841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003219584,"about_ca_system_score_gemma":0.0001907155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003790653,"about_ca_topic_score_gemma":5.480258e-7,"domain_scores_codex":[0.993671,0.00285318,0.001878527,0.0005864598,0.000585538,0.00042529],"domain_scores_gemma":[0.9964008,0.001754179,0.001220726,0.0004268438,0.0001255948,0.00007179416],"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":[0.0000096052,0.00004388283,0.000005861932,0.1485688,0.00001947099,0.0000103825,0.00003154881,0.2297158,0.00001520918,0.002741524,0.001264718,0.6175732],"study_design_scores_gemma":[0.0003974104,0.0001615301,0.00003423762,0.504882,0.0002026035,0.0001862921,0.000003109265,0.4376286,4.537469e-7,0.0001638706,0.05579298,0.0005468423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009108998,0.9930183,0.0009047597,0.00005589013,0.00193831,0.003599013,0.00001410889,0.00009727258,0.0002812673],"genre_scores_gemma":[0.04088335,0.9584067,0.00002007904,0.00005073493,0.0002528781,0.0002244106,0.000006633948,0.0000520724,0.0001031017],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6170264,"threshold_uncertainty_score":0.8123658,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2524534272","doi":"10.1080/0954898x.2016.1219412","title":"Phenomenological modelling of electrically stimulated auditory nerve fibers: A review","year":2016,"lang":"en","type":"review","venue":"Network Computation in Neural Systems","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stimulus (psychology); Phenomenological model; Cochlear implant; Neurophysiology; Afferent; Neuroscience; Hair cell; Computer science; Stimulation; Cochlear nerve; Cochlea; Psychology; Physics; Cognitive psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.1385884718154029,"gpt":0.3487129191027014,"spread":0.2101244472872985,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00077395,0.0003903712,0.00194674,0.0002003959,0.00008586982,0.00004316015,0.000342496,0.0003403971,0.00001127539],"category_scores_gemma":[0.0002865108,0.0002613446,0.0003438339,0.001239797,0.00009160006,0.0001131602,0.00007111854,0.0004729879,0.00004726409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466966,"about_ca_system_score_gemma":0.0001378738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001737757,"about_ca_topic_score_gemma":1.33533e-7,"domain_scores_codex":[0.994452,0.001979486,0.001902628,0.0007290618,0.0004642882,0.0004725574],"domain_scores_gemma":[0.9956766,0.002771397,0.001063504,0.0002790013,0.0001124197,0.00009703211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009712228,0.0000507266,0.00000116797,0.03148496,0.00001331545,0.00001772099,0.00003064854,0.5409585,0.000007810214,0.0002262676,0.000676898,0.4265223],"study_design_scores_gemma":[0.0004633225,0.0005025067,0.000005739998,0.2152646,0.000158729,0.00007622802,0.000003405904,0.6025089,2.15211e-7,0.0003970752,0.1798687,0.0007505146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001423471,0.988149,0.007805991,0.00003367327,0.001450351,0.0021189,0.000009877043,0.0001028731,0.0001869681],"genre_scores_gemma":[0.007449516,0.9913892,0.0001757573,0.00004377029,0.0006379924,0.000166313,0.00001864803,0.00004677898,0.00007203571],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4257718,"threshold_uncertainty_score":0.9999838,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2530725256","doi":"10.1080/0954898x.2016.1223365","title":"The history and future of neural modeling for cochlear implants","year":2016,"lang":"en","type":"article","venue":"Network Computation in Neural Systems","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Bildung und Forschung","keywords":"Cochlear implantation; Cochlear implant; Audiology; Computer science; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.04120639336002119,"gpt":0.2722068474803943,"spread":0.2310004541203731,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002829378,0.00007693337,0.0001335108,0.00003221779,0.0001256185,0.00002137938,0.00007959869,0.00004732334,5.315312e-7],"category_scores_gemma":[0.0000667574,0.00004344338,0.00003104529,0.00007999203,0.00006606439,0.00009586552,0.00001905041,0.00005512596,7.195616e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006193983,"about_ca_system_score_gemma":0.00001663469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003085076,"about_ca_topic_score_gemma":0.000004354839,"domain_scores_codex":[0.9989634,0.0001883913,0.0003241286,0.0001975028,0.0001369104,0.0001896962],"domain_scores_gemma":[0.9986559,0.001061713,0.0001162966,0.00008374287,0.00004776122,0.00003460935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002127466,0.00002078315,0.001919041,0.0001707713,0.000003681408,0.0000021738,0.0006914411,0.8156441,0.01924814,0.005686765,0.001750878,0.1546495],"study_design_scores_gemma":[0.0004001606,0.00009681899,0.002685684,0.00006236677,0.00000194779,0.00001248839,0.00005487157,0.9945664,0.00001453758,0.0003999969,0.00163937,0.0000652918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887829,0.00113263,0.005449936,0.0006350674,0.003434572,0.0004954267,0.000003980206,0.00002938803,0.00003613601],"genre_scores_gemma":[0.9992565,0.00006503926,0.00006182027,0.00004639785,0.0004700452,0.00003227688,6.667944e-7,0.00001027411,0.00005699836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1789224,"threshold_uncertainty_score":0.177157,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4253863974","doi":"10.1088/0954-898x_15_3_001","title":"The emergence of temporal hyperacuity from widely tuned cell populations","year":2004,"lang":"en","type":"article","venue":"Network Computation in Neural Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Regina","keywords":"Hyperacuity; Computer science; Population; Auditory cortex; Psychophysics; Neuroscience; Coincidence detection in neurobiology; Temporal resolution; Neural coding; Artificial intelligence; Coincidence; Biology; Perception; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.04763318160666916,"gpt":0.2743573714900236,"spread":0.2267241898833545,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002064944,0.000137028,0.0001883902,0.00004445865,0.0003096123,0.00007832871,0.0002121856,0.00005576526,0.000004689934],"category_scores_gemma":[0.00007019861,0.000105433,0.00006506741,0.0006128719,0.000066046,0.0001786374,0.00004677795,0.0001690909,0.00001184523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004188211,"about_ca_system_score_gemma":0.00002808826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00145682,"about_ca_topic_score_gemma":0.0003469838,"domain_scores_codex":[0.9982334,0.0002672787,0.0006059446,0.0003165639,0.0003256905,0.0002511352],"domain_scores_gemma":[0.9989988,0.0003783596,0.0003298291,0.0001816346,0.00005988166,0.0000515534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000312118,0.00003370639,0.008910991,0.000008741302,0.000001224806,0.000004751318,0.00006195089,0.9795,0.00795619,0.002130643,0.0003200343,0.001040546],"study_design_scores_gemma":[0.0007100053,0.0001347857,0.03900346,0.00006381699,0.000008034966,0.000009116188,0.00008780394,0.9487856,0.0007360495,0.009979829,0.0002718495,0.0002096687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866555,0.0002022044,0.007850547,0.0004120094,0.003973025,0.0004734916,0.00001598143,0.00006067378,0.0003565498],"genre_scores_gemma":[0.9993342,0.00001864845,0.0001791278,0.0001060586,0.0002349896,0.0000223465,0.00002317352,0.00001432854,0.00006709023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03071443,"threshold_uncertainty_score":0.4299434,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}