{"id":"W4394277182","doi":"10.6084/m9.figshare.19703871","title":"Additional file 4 of Prostate cancer multiparametric magnetic resonance imaging visibility is a tumor-intrinsic phenomena","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of Toronto; University Health Network","funders":"","keywords":"Prostate cancer; Visibility; Magnetic resonance imaging; Medicine; Cancer; Nuclear magnetic resonance; Physics; Radiology; Optics; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001242492,0.001968073,0.001733509,0.002087035,0.0007842907,0.002377202,0.002300928,0.002195016,0.4468275],"category_scores_gemma":[0.01379284,0.0006544088,0.001518477,0.003092832,0.0004172569,0.001462587,0.001238251,0.00150873,0.1102704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001176277,"about_ca_system_score_gemma":0.001716974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007779568,"about_ca_topic_score_gemma":0.01432403,"domain_scores_codex":[0.9991754,0.0001110995,0.0001124998,0.0003389739,0.0001464566,0.000115625],"domain_scores_gemma":[0.9935331,0.004356087,0.00047093,0.0006363254,0.000753538,0.0002500034],"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":[0.0002878305,0.00007245951,0.003034012,0.002445515,0.00008977985,0.00006769283,0.00002447304,0.0005641702,0.0001690533,0.0004053009,0.9884236,0.004416085],"study_design_scores_gemma":[0.003475726,0.0001947824,0.0190771,0.001809617,0.0003259721,0.0006508667,0.000177095,0.002356293,0.001213034,0.00854909,0.9620431,0.0001274045],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009421453,0.00003214693,0.00006621826,0.00003870467,0.00001022203,0.00001263326,0.9994466,0.0001376025,0.000161663],"genre_scores_gemma":[0.001548334,0.00007314263,0.0005981662,0.0001445641,0.00002362926,0.0002409518,0.9961128,0.0001436086,0.00111494],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4468275,"threshold_uncertainty_score":0.7890334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136662246277594,"score_gpt":0.2794907635611044,"score_spread":0.265824538933345,"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."}}