{"id":"W4394471698","doi":"10.6084/m9.figshare.19703868","title":"Additional file 3 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":[0.001241843,0.001601752,0.001601066,0.001978475,0.0006673348,0.002074135,0.00209073,0.001619621,0.5317811],"category_scores_gemma":[0.01789446,0.0005721047,0.001307164,0.003047237,0.0003341276,0.001394395,0.001107654,0.001249125,0.1063239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071768,"about_ca_system_score_gemma":0.001615058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007404401,"about_ca_topic_score_gemma":0.01416864,"domain_scores_codex":[0.9992247,0.0001129774,0.0001264471,0.0002919147,0.0001322262,0.0001116898],"domain_scores_gemma":[0.9918664,0.005405234,0.0007156784,0.0007572895,0.0009540417,0.0003013439],"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":[0.0003154583,0.00006225554,0.004098544,0.001646105,0.00007875822,0.00006664747,0.00002385765,0.000517639,0.00008709422,0.0003841255,0.9876338,0.005085571],"study_design_scores_gemma":[0.00449587,0.0002582452,0.02903864,0.00222955,0.0003892467,0.00106052,0.0002320825,0.002736634,0.001023682,0.01129725,0.9470937,0.0001445786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001337214,0.00002944256,0.00008012307,0.00004295728,0.000009231625,0.00001866291,0.9993252,0.000112539,0.0002481937],"genre_scores_gemma":[0.002841586,0.00008565851,0.000602391,0.0001827348,0.0000390154,0.0004070134,0.9937426,0.0001753557,0.001923508],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5317811,"threshold_uncertainty_score":0.6678574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013562438225973,"score_gpt":0.2790895149800582,"score_spread":0.2655270767540852,"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."}}