{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":12,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":12,"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":"714cf88f11f7","filters":{"venue":"Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference"}},"results":[{"id":"W2536785848","doi":"10.1109/nssmic.1991.259291","title":"An image processing system for the automatic extraction of craniofacial landmarks","year":2002,"lang":"en","type":"article","venue":"Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Landmark; Artificial intelligence; Computer science; Computer vision; Window (computing); Pattern recognition (psychology); Craniofacial; Feature extraction; Image processing; Image (mathematics)","authors":[{"name":"J. Cardillo","is_ca":true},{"name":"M.A. Sid-Ahmed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01587868162279292,"gpt":0.2798715570325584,"spread":0.2639928754097655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007275396,0.0006945943,0.000786687,0.001236724,0.0005142383,0.0007548173,0.001318868,0.001131253,0.01128215],"category_scores_gemma":[0.0009177886,0.0004833966,0.0004404444,0.001098862,0.0003310346,0.0008425561,0.000681276,0.0008162382,0.007038846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004725516,"about_ca_system_score_gemma":0.0008512796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001193161,"about_ca_topic_score_gemma":0.001843826,"domain_scores_codex":[0.9994784,0.00004512922,0.00003825664,0.0001281066,0.0002778746,0.0000323329],"domain_scores_gemma":[0.9995947,0.00007124852,0.00003088848,0.00006952163,0.0002093382,0.00002432061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002277745,0.00007468784,0.0005447507,0.0003568132,0.0000535408,0.0002414773,0.0001098382,0.001917729,0.2893997,0.003346704,0.01590451,0.6878225],"study_design_scores_gemma":[0.0002245607,0.0008814976,0.01375101,0.0001672525,0.0002833752,0.004311186,0.0001075526,0.1781946,0.5256067,0.004053911,0.2722095,0.000208878],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005137921,0.0003861489,0.982608,0.000114293,0.0001486389,0.000279531,0.000398427,0.008841089,0.002086009],"genre_scores_gemma":[0.02653481,0.0003594276,0.9646412,0.0001454936,0.00006080898,0.0004451321,0.0008257191,0.0002121361,0.006775082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01128215,"threshold_uncertainty_score":0.03774256,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2547438229","doi":"10.1109/nssmic.1991.259311","title":"A multiresolution texture segmentation approach with application to diagnostic ultrasound images","year":2002,"lang":"en","type":"article","venue":"Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Artificial intelligence; Segmentation; Computer science; Multiresolution analysis; Computer vision; Image segmentation; Image texture; Simulated annealing; Image resolution; Pattern recognition (psychology); Ultrasound; Wavelet; Algorithm; Wavelet transform; Medicine; Radiology","authors":[{"name":"R. Muzzolini","is_ca":true},{"name":"Yee‐Hong Yang","is_ca":true},{"name":"Roger A. Pierson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01044066455239614,"gpt":0.2475499846272278,"spread":0.2371093200748317,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006378763,0.0004860117,0.0006264927,0.001462711,0.0004483186,0.001122341,0.0007635163,0.001115089,0.002435268],"category_scores_gemma":[0.001845065,0.0005589779,0.0007718321,0.001325866,0.0004589978,0.0005839983,0.0005981814,0.0007372803,0.0007515975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007137943,"about_ca_system_score_gemma":0.0005121847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002198702,"about_ca_topic_score_gemma":0.002320343,"domain_scores_codex":[0.9994379,0.0001088056,0.00002969184,0.0001019814,0.000278798,0.00004282754],"domain_scores_gemma":[0.9994352,0.0002251106,0.0000688628,0.00008782355,0.0001500127,0.0000329229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001605594,0.00008311572,0.000715016,0.0003012412,0.0000716018,0.0005430267,0.0003366263,0.131204,0.3492329,0.01362392,0.00251963,0.5012083],"study_design_scores_gemma":[0.00001976855,0.0001099958,0.001462284,0.0000243176,0.00003871386,0.001262803,0.00006757725,0.8953404,0.08281952,0.006369253,0.01243124,0.000054141],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004455525,0.0001891351,0.9937915,0.0001056347,0.00001497659,0.00003888352,0.00002581926,0.0007305468,0.000647999],"genre_scores_gemma":[0.03972852,0.0002681939,0.9587287,0.00004868582,0.00002289972,0.00005318722,0.0000582589,0.0001625681,0.0009290011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002435268,"threshold_uncertainty_score":0.008146763,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2543415635","doi":"10.1109/nssmic.1991.259241","title":"Maximum likelihood positioning in the scintillation camera using depth of interaction","year":2002,"lang":"en","type":"article","venue":"Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Scintillation; Energy (signal processing); Photomultiplier; Noise (video); Position (finance); Monte Carlo method; Detector; Computer science; Photodetector; SIGNAL (programming language); Algorithm; Computer vision; Artificial intelligence; Physics; Optics; Mathematics; Image (mathematics); Statistics","authors":[{"name":"N. Pouliot","is_ca":true},{"name":"Daniel Gagnon","is_ca":true},{"name":"Luc Laperrière","is_ca":true},{"name":"Jean‐Pierre Grégoire","is_ca":true},{"name":"A. Larry Arsenault","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02109660753745642,"gpt":0.2657867971515237,"spread":0.2446901896140673,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001646557,0.0007798107,0.0007951114,0.0008347239,0.0003890993,0.00117412,0.001151469,0.00111501,0.0009773201],"category_scores_gemma":[0.006237392,0.0009397796,0.0006926598,0.0009923427,0.0007108271,0.001289613,0.001467371,0.0008010044,0.000770791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205247,"about_ca_system_score_gemma":0.001266523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002308568,"about_ca_topic_score_gemma":0.00233591,"domain_scores_codex":[0.9987447,0.0005207796,0.00004837809,0.0002021448,0.0004256832,0.00005833659],"domain_scores_gemma":[0.9983429,0.000998706,0.0002001737,0.0001699897,0.0002402801,0.00004798797],"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":[0.0004707944,0.00007220266,0.00280365,0.000178225,0.00009484445,0.0002432095,0.0003683337,0.6899832,0.0492708,0.03129577,0.001432348,0.2237866],"study_design_scores_gemma":[0.00003733587,0.00006457645,0.0004915511,0.00001236183,0.00001220521,0.000162991,0.00001344854,0.9772046,0.01519704,0.005075882,0.001681854,0.00004609758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004175261,0.00005602386,0.9948854,0.00002550188,0.000005137904,0.00001338679,0.00001166328,0.00045076,0.0003768501],"genre_scores_gemma":[0.09467943,0.0000899037,0.9040617,0.00003136587,0.000009699604,0.00007130657,0.00008234927,0.0001237547,0.0008505383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002308568,"threshold_uncertainty_score":0.008744717,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2545231430","doi":"10.1109/nssmic.1991.259184","title":"Front-end processing electronics for a PET tomograph based on BGO-avalanche photodiode detectors","year":2002,"lang":"en","type":"article","venue":"Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Avalanche photodiode; Detector; Nuclear electronics; Discriminator; Photodiode; Analog signal processing; Physics; Front and back ends; SIGNAL (programming language); Tomography; Electronics; APDS; Computer hardware; Analog signal; Computer science; Electrical engineering; Optics; Engineering; Digital signal processing","authors":[{"name":"P. Richard","is_ca":true},{"name":"D. Rouleau","is_ca":true},{"name":"S. Rodrigue","is_ca":true},{"name":"J. Cadorette","is_ca":true},{"name":"M. Neon","is_ca":true},{"name":"Roger Lecomte","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02013148412730572,"gpt":0.278818215324805,"spread":0.2586867311974993,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004245561,0.0008465854,0.0004701111,0.0008711121,0.0004258545,0.001277533,0.001053381,0.0007326911,0.0662837],"category_scores_gemma":[0.0009331186,0.0004469861,0.0002536621,0.0006440854,0.0002293081,0.0006409193,0.0003981859,0.0006973805,0.0299645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005100967,"about_ca_system_score_gemma":0.0003849367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007924368,"about_ca_topic_score_gemma":0.001138685,"domain_scores_codex":[0.9996012,0.00004423637,0.00002133799,0.00007584863,0.0002223834,0.00003505584],"domain_scores_gemma":[0.9993926,0.0001776877,0.00002819846,0.00007600512,0.0002913238,0.00003415471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007065309,0.0001460126,0.002172334,0.0009123083,0.00009232017,0.0006054358,0.0001548155,0.002974923,0.432952,0.01023415,0.1211589,0.4278904],"study_design_scores_gemma":[0.0002239932,0.001239669,0.005858311,0.0002296633,0.0002255211,0.004080681,0.00009265249,0.02650057,0.2464958,0.004558187,0.7103636,0.0001313232],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01393778,0.001376227,0.9064884,0.0008905295,0.0009172616,0.0007356734,0.002731168,0.01862828,0.05429468],"genre_scores_gemma":[0.127465,0.002744775,0.6709035,0.002766089,0.0005728515,0.0008995223,0.006452722,0.002255604,0.1859399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0662837,"threshold_uncertainty_score":0.2217411,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1550930548","doi":"10.1109/nssmic.1991.259240","title":"Depth of interaction in the scintillation camera: stochastic and geometric effects","year":2002,"lang":"en","type":"article","venue":"Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Scintillation; Photomultiplier; Position (finance); Physics; Photon; Crystal (programming language); Optics; Solid angle; Perpendicular; Energy (signal processing); Computer science; Detector; Geometry; Mathematics; Quantum mechanics","authors":[{"name":"Daniel Gagnon","is_ca":true},{"name":"N. Pouliot","is_ca":true},{"name":"Luc Laperrière","is_ca":true},{"name":"Jean‐Pierre Grégoire","is_ca":true},{"name":"A. Larry Arsenault","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01415705411888948,"gpt":0.249892311545657,"spread":0.2357352574267675,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001221609,0.0005768025,0.0006061734,0.0008337418,0.0003679989,0.001824131,0.0006262183,0.0004957431,0.001017481],"category_scores_gemma":[0.006505687,0.0006841309,0.0004237201,0.0009378367,0.0006954353,0.001798616,0.001324904,0.0008104379,0.0002869263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00177,"about_ca_system_score_gemma":0.0005633091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001127072,"about_ca_topic_score_gemma":0.001500437,"domain_scores_codex":[0.9988048,0.0002754854,0.00005691929,0.000137297,0.0006192042,0.0001063136],"domain_scores_gemma":[0.9941181,0.003660746,0.001110382,0.0003118357,0.0005654803,0.0002334203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00124473,0.0001577941,0.03359518,0.0006660998,0.00015249,0.001197183,0.0006017217,0.09203761,0.7120572,0.02250486,0.001116428,0.1346687],"study_design_scores_gemma":[0.00006538728,0.001366596,0.03298086,0.0001183863,0.0002821226,0.007092231,0.0003388191,0.3977998,0.5381136,0.007919743,0.01358043,0.0003420518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3098266,0.00294135,0.6801776,0.0003761446,0.00007832872,0.0001024997,0.0002223444,0.001110379,0.005164756],"genre_scores_gemma":[0.9222887,0.001177409,0.07402104,0.0001060871,0.00004972404,0.0000410611,0.0001624802,0.0002325576,0.001920898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001824131,"threshold_uncertainty_score":0.01284236,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2542764092","doi":"10.1109/nssmic.1991.259310","title":"A framework for the evaluation of texture features with application to diagnostic ultrasound images","year":2002,"lang":"en","type":"article","venue":"Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Texture (cosmology); Artificial intelligence; Set (abstract data type); Computer science; Outlier; Image texture; Pattern recognition (psychology); Feature (linguistics); Computer vision; Image (mathematics); Image processing","authors":[{"name":"R. Muzzolini","is_ca":true},{"name":"Yee‐Hong Yang","is_ca":true},{"name":"Roger A. Pierson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02123750421118136,"gpt":0.305654920823618,"spread":0.2844174166124366,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005574417,0.001841037,0.001873493,0.006632678,0.0007710622,0.003364281,0.002371461,0.001536846,0.001391276],"category_scores_gemma":[0.01272147,0.0006103992,0.001798787,0.003040241,0.002232855,0.001708956,0.001903771,0.001756318,0.0007955609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462552,"about_ca_system_score_gemma":0.001351223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003808403,"about_ca_topic_score_gemma":0.00243718,"domain_scores_codex":[0.9953916,0.001123696,0.0003591925,0.0005397242,0.002397032,0.0001887812],"domain_scores_gemma":[0.9949315,0.001921653,0.0007702313,0.0005813644,0.001590876,0.0002044132],"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":[0.0003323196,0.0003586142,0.00462779,0.0006355667,0.0003505475,0.0004192589,0.0003273856,0.2739843,0.09176653,0.08264999,0.006147172,0.5384005],"study_design_scores_gemma":[0.00003542656,0.0003992214,0.002844307,0.0001016917,0.00007748727,0.0005290817,0.0001002006,0.9296914,0.01944927,0.0384048,0.008238363,0.0001287721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001558026,0.0001073477,0.9973983,0.00003742216,0.000007280808,0.00006769269,0.0000711976,0.0005154365,0.0002372851],"genre_scores_gemma":[0.04464648,0.0001938176,0.9539407,0.00004018751,0.00003999084,0.0003515898,0.0002906954,0.0001174498,0.0003791791],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006632678,"threshold_uncertainty_score":0.0294807,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1518387591","doi":"10.1109/nssmic.1991.259049","title":"What's new with FASTBUS and what's it done in the particle accelerator laboratories","year":2002,"lang":"en","type":"article","venue":"Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"TRIUMF","funders":"","keywords":"Fermilab; Software; Particle accelerator; Data acquisition; Linear particle accelerator; Instrumentation (computer programming); Operating system; Upgrade; National laboratory; Physics; Computer science; Large Hadron Collider; Computer hardware; Particle physics; Nuclear physics","authors":[{"name":"Louis Costrell","is_ca":false},{"name":"W Dawson","is_ca":true},{"name":"P J Ponting","is_ca":false},{"name":"E.D. Platner","is_ca":false},{"name":"L. Paffrath","is_ca":false},{"name":"E. Barsotti","is_ca":false},{"name":"R. Downing","is_ca":false},{"name":"H. Ikeda","is_ca":false},{"name":"R. O. Nelson","is_ca":false},{"name":"I.F. Kolpakov","is_ca":false},{"name":"D.B. Gustavson","is_ca":false},{"name":"H.V. Walz","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01920461090742582,"gpt":0.2445352281282289,"spread":0.2253306172208031,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01798708,0.001261984,0.001014905,0.002896141,0.003017558,0.01440096,0.003947309,0.005832389,0.068315],"category_scores_gemma":[0.02804614,0.0008146872,0.001376902,0.005451992,0.003398214,0.04193277,0.003473741,0.007006724,0.03083095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004161183,"about_ca_system_score_gemma":0.007667714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005546996,"about_ca_topic_score_gemma":0.00314944,"domain_scores_codex":[0.9904262,0.002314138,0.0007507905,0.0009020964,0.004244866,0.001361829],"domain_scores_gemma":[0.9768072,0.003523773,0.001640976,0.004128325,0.008831481,0.005068304],"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":[0.000224526,0.0001363643,0.001947078,0.0007867383,0.00003827468,0.0001830628,0.0004146264,0.000487931,0.0007091559,0.04748029,0.5521936,0.3953983],"study_design_scores_gemma":[0.00002293834,0.00005186716,0.0005470081,0.0007033422,0.00001452097,0.0002373876,0.0003307454,0.0002391252,0.0003105534,0.00989679,0.9876039,0.00004182822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.006676182,0.1248686,0.0677597,0.5367143,0.123725,0.000253523,0.001827575,0.01495333,0.1232218],"genre_scores_gemma":[0.1011919,0.1937671,0.1813687,0.1846269,0.09118044,0.0008660756,0.005908599,0.01058444,0.2305059],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.068315,"threshold_uncertainty_score":0.2285364,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2541727765","doi":"10.1109/nssmic.1991.259070","title":"DC magnet power supply using a high-frequency zero-voltage switching converter","year":2002,"lang":"en","type":"article","venue":"Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Switched-mode power supply; Switched-mode power supply applications; Electrical engineering; Power supply unit; Commutation cell; AC adapter; Power supply rejection ratio; Voltage; Power (physics); Buck converter; Computer science; Electronic engineering; Engineering; Physics; Constant power circuit","authors":[{"name":"J.M.S. Kim","is_ca":true},{"name":"A.K.S. Bhat","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01096303840420202,"gpt":0.2162822661961591,"spread":0.205319227791957,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001330077,0.0002466958,0.0003111805,0.0004531157,0.0003760121,0.001014862,0.0008070981,0.0004072403,0.007618925],"category_scores_gemma":[0.0004173182,0.0001615988,0.0001440996,0.0005772031,0.0002212046,0.0006855129,0.0002732489,0.0004811541,0.002343374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003244749,"about_ca_system_score_gemma":0.0004190753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003653427,"about_ca_topic_score_gemma":0.0004707467,"domain_scores_codex":[0.9997546,0.00003263708,0.00001636112,0.00004153012,0.0001328776,0.00002205593],"domain_scores_gemma":[0.9997701,0.00004791873,0.00001359496,0.00003524801,0.0001185059,0.00001467287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003595327,0.0001822923,0.001650684,0.0005507695,0.0000434553,0.0006097466,0.0002534886,0.005881184,0.4049281,0.05758426,0.02047815,0.5074784],"study_design_scores_gemma":[0.00043304,0.001102295,0.002866477,0.0001425981,0.0001067234,0.00367434,0.0002172797,0.1400677,0.5907579,0.020004,0.2405388,0.00008887578],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05590594,0.0006151897,0.8820472,0.0006381462,0.0004661692,0.0002722628,0.0003035149,0.004621775,0.05512969],"genre_scores_gemma":[0.8044106,0.0005997317,0.1608522,0.0004742086,0.0002942484,0.0001821784,0.0003463914,0.0002153229,0.03262498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007618925,"threshold_uncertainty_score":0.0254879,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2548703547","doi":"10.1109/nssmic.1991.259190","title":"A new stationary sampling scheme for multi-layer positron tomographs","year":2002,"lang":"en","type":"article","venue":"Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Coincidence; Detector; Offset (computer science); Sampling (signal processing); Positron emission tomography; Physics; Resolution (logic); Positron; Optics; Image resolution; Iterative reconstruction; Tomography; Computer science; Algorithm; Computer vision; Nuclear medicine; Artificial intelligence; Nuclear physics","authors":[{"name":"Marjolaine Héon","is_ca":true},{"name":"Christian Carrier","is_ca":true},{"name":"J. Cadorette","is_ca":true},{"name":"P. Richard","is_ca":true},{"name":"D. Rouleau","is_ca":true},{"name":"S. Rodrigue","is_ca":true},{"name":"Roger Lecomte","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07341084026642519,"gpt":0.3418196798655304,"spread":0.2684088395991052,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004508866,0.000360517,0.0003275097,0.0005108092,0.0002232456,0.0006449491,0.001069212,0.0003629544,0.002034083],"category_scores_gemma":[0.0007795042,0.0004123783,0.0003263854,0.0004763422,0.0003251561,0.0009864419,0.000554085,0.0004226698,0.0006373682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004461454,"about_ca_system_score_gemma":0.0003682879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004589116,"about_ca_topic_score_gemma":0.0006383729,"domain_scores_codex":[0.9997624,0.000064549,0.00002051636,0.0000424555,0.0000847587,0.00002536067],"domain_scores_gemma":[0.9996376,0.0001016615,0.00004392345,0.0001174199,0.00006793998,0.00003143894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006142985,0.00007704696,0.001144441,0.000398434,0.00004655807,0.000318552,0.0002140842,0.03535472,0.5200596,0.04150001,0.001959905,0.3983124],"study_design_scores_gemma":[0.0001157308,0.0005723212,0.001679425,0.00005550109,0.00008923849,0.001481089,0.00004500624,0.6443602,0.2976528,0.01059913,0.04324006,0.0001093298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01238813,0.0003925868,0.9855756,0.00003696429,0.00003302637,0.00004121392,0.00006030306,0.0006926745,0.0007796747],"genre_scores_gemma":[0.1325862,0.0004697027,0.8649127,0.0000435687,0.00002781308,0.00009285159,0.0001481656,0.0001216052,0.001597352],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002034083,"threshold_uncertainty_score":0.006804764,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4248368359","doi":"10.1109/nssmic.1991.259284","title":"Analytic image reconstruction in PVI using the 3D Radon transform","year":2002,"lang":"en","type":"article","venue":"Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"TRIUMF","funders":"","keywords":"Radon transform; Computation; Fourier transform; Iterative reconstruction; Monte Carlo method; Inversion (geology); Algorithm; Radon; Artificial intelligence; Computer vision; Physics; Computer science; Mathematics; Mathematical analysis; Geology; Statistics; Nuclear physics","authors":[{"name":"M.W. Stazyk","is_ca":true},{"name":"J.G. Rogers","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02840764304687707,"gpt":0.2926960535636101,"spread":0.264288410516733,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00102999,0.0005497508,0.0006812338,0.001064547,0.0002510427,0.001319775,0.0009002266,0.0006091891,0.001981091],"category_scores_gemma":[0.002730824,0.0005303907,0.000875328,0.000775142,0.0007568438,0.001101338,0.001145056,0.00103123,0.001427567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005763606,"about_ca_system_score_gemma":0.0005505691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008145273,"about_ca_topic_score_gemma":0.0006664571,"domain_scores_codex":[0.999509,0.0001103384,0.00002840819,0.0000506128,0.000270581,0.00003111483],"domain_scores_gemma":[0.9993989,0.0002685945,0.00006588736,0.00009566252,0.0001503961,0.00002054931],"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":[0.0001314552,0.00004212957,0.0007009265,0.0003652621,0.00006760401,0.0004528099,0.0002942177,0.3665192,0.07993005,0.2653767,0.003802984,0.2823167],"study_design_scores_gemma":[0.00001189324,0.00003714949,0.0002609942,0.00001753361,0.000009055204,0.0003628863,0.00002491406,0.9329975,0.02106562,0.03859106,0.006590541,0.00003095499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001622004,0.00008332691,0.9973393,0.00002443984,0.000007392242,0.00001141754,0.00002519262,0.0002933468,0.0005935021],"genre_scores_gemma":[0.04047525,0.00040183,0.9574733,0.00003149057,0.00001571144,0.00006209279,0.0001740542,0.0001751155,0.00119106],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001981091,"threshold_uncertainty_score":0.006627381,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2540816348","doi":"10.1109/nssmic.1991.259300","title":"Locally adaptive space variant restoration of CT images","year":2002,"lang":"en","type":"article","venue":"Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Image restoration; Point spread function; Iterative reconstruction; Pixel; Computer science; Computer vision; Noise (video); Algorithm; Image resolution; Artificial intelligence; Mathematics; Image processing; Image (mathematics)","authors":[{"name":"S Rathee","is_ca":true},{"name":"Z.J. Koles","is_ca":true},{"name":"T.R. Overton","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02381575609278204,"gpt":0.2576813046419751,"spread":0.2338655485491931,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002549556,0.0003358853,0.0003433251,0.000558559,0.0001545106,0.0006326239,0.0004684846,0.0004125088,0.03862201],"category_scores_gemma":[0.001280295,0.0001084633,0.0002526346,0.0005459845,0.0002397586,0.000413132,0.0003337271,0.0004895075,0.01022319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003474871,"about_ca_system_score_gemma":0.0003230245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008665766,"about_ca_topic_score_gemma":0.001400307,"domain_scores_codex":[0.9998605,0.00002428465,0.00001019744,0.00002965197,0.00006894876,0.000006321608],"domain_scores_gemma":[0.9996806,0.00009565718,0.00002779594,0.00007553284,0.00009876231,0.0000216213],"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":[0.0004481965,0.00003621689,0.0004130724,0.0009452446,0.00003749433,0.0007113288,0.00008753241,0.04127768,0.08418264,0.02194875,0.07561674,0.774295],"study_design_scores_gemma":[0.00006340873,0.0003508593,0.001807788,0.0003041296,0.0001107862,0.004141835,0.00006843302,0.37143,0.1181888,0.01706843,0.4863618,0.000103723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01405753,0.009481286,0.9264197,0.001414628,0.002897433,0.0001755689,0.0008302256,0.007083268,0.03764029],"genre_scores_gemma":[0.2496576,0.01394122,0.5015841,0.001273326,0.001802828,0.0002709992,0.002530656,0.002157309,0.2267819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03862201,"threshold_uncertainty_score":0.1292036,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2543412132","doi":"10.1109/nssmic.1991.259293","title":"Automatic neural arbor reconstruction","year":2002,"lang":"en","type":"article","venue":"Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Technical University of Nova Scotia","funders":"","keywords":"Pixel; Artificial intelligence; Orientation (vector space); Curvature; Projection (relational algebra); Noise (video); Artificial neural network; Computer science; Displacement (psychology); Computer vision; Feature (linguistics); Image resolution; Magnitude (astronomy); Point (geometry); Data point; Mathematics; Algorithm; Pattern recognition (psychology); Geometry; Image (mathematics); Physics","authors":[{"name":"P.M. Gregson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01338061221924015,"gpt":0.2325523367572942,"spread":0.219171724538054,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005568471,0.0008178709,0.0006518765,0.001287234,0.0007141512,0.001399418,0.001201304,0.0008424597,0.009316819],"category_scores_gemma":[0.001812074,0.0005694602,0.0007029196,0.0008046681,0.0004120309,0.0008809008,0.001165215,0.001283164,0.003353565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008123341,"about_ca_system_score_gemma":0.001301691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003139848,"about_ca_topic_score_gemma":0.005877972,"domain_scores_codex":[0.9996397,0.00004477739,0.00002298528,0.0000910651,0.0001602613,0.00004115255],"domain_scores_gemma":[0.9994403,0.0001466263,0.00005002424,0.0001396334,0.000192878,0.00003057425],"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":[0.0001253221,0.00006828656,0.0008066641,0.0001453601,0.00004716243,0.0001431457,0.0001086796,0.06589928,0.0466886,0.0166631,0.008287952,0.8610165],"study_design_scores_gemma":[0.00002892443,0.00006223089,0.0006243429,0.00002108112,0.00001622709,0.00031875,0.00004017587,0.9377956,0.03248875,0.01321932,0.01535615,0.00002848372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00332871,0.00003946539,0.9925461,0.00003965463,0.00001643334,0.00004696044,0.00008257408,0.00277676,0.001123274],"genre_scores_gemma":[0.03906691,0.00007085246,0.9571111,0.00004041135,0.00001058152,0.0001382839,0.0003648858,0.000359721,0.002837277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009316819,"threshold_uncertainty_score":0.03116792,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}