{"id":"W4393891033","doi":"10.5281/zenodo.3601415","title":"UHNBreast PSet","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Medical Imaging and Pathology Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002346006,0.0002223911,0.0004769565,0.00005275888,0.00005314668,0.00001206377,0.0001609216,0.0002639427,0.2947247],"category_scores_gemma":[0.003501197,0.0001755357,0.0001183855,0.0001043653,0.00002114912,0.00001236787,0.000186853,0.0007825007,0.07363947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001707851,"about_ca_system_score_gemma":0.0001322554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005575526,"about_ca_topic_score_gemma":0.00000284003,"domain_scores_codex":[0.9989964,0.00002978813,0.0001737202,0.0003275111,0.0002509251,0.0002215926],"domain_scores_gemma":[0.999148,0.00009442055,0.00008251516,0.0003530833,0.00007090859,0.0002510956],"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":[0.00001239048,0.00002844934,0.000003793845,0.001201775,0.00007166362,0.001347905,0.0000100606,9.061884e-9,3.634589e-7,2.787447e-8,0.9968571,0.0004664657],"study_design_scores_gemma":[0.0002970843,0.00008279025,0.0002319841,0.003464973,0.0001336938,0.000274926,0.000006929906,0.000001542168,0.000003138889,0.000001591179,0.9953512,0.0001501472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[8.710185e-8,0.0006456068,3.19887e-8,0.002297581,0.000129548,0.0001722477,0.9957291,0.00008098585,0.0009447885],"genre_scores_gemma":[0.000001116743,0.00004320586,0.00002284132,0.008889779,0.001021478,0.0001124686,0.9894167,0.00001622184,0.000476232],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2210852,"threshold_uncertainty_score":0.9270818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09038791663872711,"score_gpt":0.3362385807389999,"score_spread":0.2458506641002728,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}