{"id":"W3092651983","doi":"10.1177/0846537120967720","title":"Imaging Database Preparation for Machine Learning","year":2020,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; McMaster University; Hamilton Health Sciences; Juravinski Hospital","funders":"","keywords":"Medicine; Medical physics; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.001048835,0.001119167,0.0008942569,0.003166099,0.0006641336,0.001642798,0.001940839,0.0009215262,0.111185],"category_scores_gemma":[0.01010471,0.0008643187,0.001062186,0.002100056,0.0002778606,0.001091997,0.001334243,0.001385059,0.07313064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006001501,"about_ca_system_score_gemma":0.002324435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004414967,"about_ca_topic_score_gemma":0.00569088,"domain_scores_codex":[0.9992816,0.00007062434,0.0001251072,0.0002237259,0.0001938386,0.0001051908],"domain_scores_gemma":[0.9957622,0.0008036829,0.0001602494,0.001452482,0.001670523,0.0001509261],"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":[0.001078613,0.0003448778,0.002862396,0.0007832322,0.00007427889,0.0006901019,0.0001465907,0.004603293,0.02103574,0.003910699,0.5973706,0.3670996],"study_design_scores_gemma":[0.0006638497,0.0003587545,0.00930474,0.0002844558,0.0001402238,0.001449115,0.0004645188,0.07020799,0.1037301,0.01548526,0.7977468,0.0001640422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02260432,0.0008775285,0.4291455,0.001627963,0.001520251,0.005128184,0.3502302,0.1549679,0.03389813],"genre_scores_gemma":[0.07910729,0.0006895229,0.4078366,0.0007682434,0.000322391,0.004966355,0.476532,0.007605588,0.02217199],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.111185,"threshold_uncertainty_score":0.3719508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708624331981382,"score_gpt":0.2945726153428971,"score_spread":0.2774863720230832,"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."}}