{"id":"W3199429500","doi":"10.1101/2021.09.13.460002","title":"Stable breast cancer prognosis","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"BC Cancer Agency; Cancer Research UK","keywords":"Breast cancer; Inference; Computer science; Artificial intelligence; Cancer; Machine learning; Data mining; Oncology; Medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002714594,0.000693854,0.0005578447,0.000991624,0.0003310797,0.00112479,0.0007973455,0.0006727175,0.002641228],"category_scores_gemma":[0.009312568,0.000227702,0.0006746469,0.0007457592,0.0003388933,0.001224557,0.0009263186,0.0009721553,0.001201063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009214631,"about_ca_system_score_gemma":0.0009819607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005838189,"about_ca_topic_score_gemma":0.005810683,"domain_scores_codex":[0.9988708,0.0003086895,0.00008252452,0.0003546018,0.0002716182,0.0001117814],"domain_scores_gemma":[0.9969218,0.001037252,0.0005104187,0.0004815677,0.0009105387,0.0001383592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008851012,0.0001478625,0.2880962,0.0003344814,0.0004088521,0.0005868942,0.0001935276,0.187073,0.008793719,0.007858914,0.02721864,0.4784027],"study_design_scores_gemma":[0.000058869,0.0001855462,0.04570247,0.00009688859,0.0001813053,0.0004774057,0.0001926068,0.9098337,0.008152246,0.02484672,0.01021104,0.00006111818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3693111,0.006658614,0.6002867,0.004348729,0.0005837972,0.00025398,0.007060226,0.00279283,0.008704117],"genre_scores_gemma":[0.9691095,0.0007409689,0.02238041,0.0002676863,0.0001444985,0.00005519175,0.004427324,0.0001005717,0.002773751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005838189,"threshold_uncertainty_score":0.01435632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472785976463534,"score_gpt":0.2237564663097866,"score_spread":0.2090286065451513,"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."}}