{"id":"W4245064891","doi":"10.1002/9780471420194.tnmm06","title":"Cancer Informatics","year":2017,"lang":"en","type":"other","venue":"TNM Online","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Informatics; Health informatics; Computer science; Best practice; Data science; Health informatics tools; Knowledge management; Health Administration Informatics; Process (computing); Translational research informatics; Cancer; Frontier; Health care; Medicine; Engineering; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003098424,0.000749399,0.0006665755,0.004908698,0.001553027,0.007639928,0.002234401,0.001950352,0.3951693],"category_scores_gemma":[0.01698885,0.0003391312,0.0006071847,0.006402474,0.0007986127,0.004169082,0.003744435,0.002155176,0.2036249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003401539,"about_ca_system_score_gemma":0.005756008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00325601,"about_ca_topic_score_gemma":0.003143296,"domain_scores_codex":[0.9970267,0.000745901,0.0002547544,0.0003942534,0.001354986,0.000223525],"domain_scores_gemma":[0.991842,0.002465283,0.0004217863,0.001418113,0.002708567,0.001144224],"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":[0.00002025193,0.0000194666,0.0003409715,0.0003545682,0.000006537829,0.00004738613,0.00009903317,0.0002077533,0.0001197249,0.03631395,0.6949552,0.2675151],"study_design_scores_gemma":[0.000002707326,0.000003862806,0.0001178727,0.000111935,0.000001792137,0.00005781738,0.00002946089,0.0001351521,0.00008631426,0.004747151,0.9947028,0.000003236317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008396021,0.007628321,0.01672359,0.02786945,0.00449424,0.0004039677,0.01418141,0.004203994,0.9236554],"genre_scores_gemma":[0.02071521,0.02834501,0.02814151,0.01085683,0.005471751,0.0008244776,0.04297522,0.002522998,0.8601471],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3951693,"threshold_uncertainty_score":0.8627176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02289943416747525,"score_gpt":0.3145312743595317,"score_spread":0.2916318401920564,"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."}}