{"id":"W4384283411","doi":"10.46747/cfp.6907473","title":"Demystifying breast cancer","year":2023,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario","funders":"","keywords":"Breast cancer; Medicine; Cancer; Computer science; Data science; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000337007,0.0001551539,0.0001196182,0.00008635248,0.0001939539,0.00002015685,0.0001446898,0.00006488659,0.000002919883],"category_scores_gemma":[0.00000285742,0.0001617927,0.0000681013,0.0002971127,0.000060642,0.000003688337,0.00004324247,0.00005212606,0.0001659924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000116722,"about_ca_system_score_gemma":0.0003165891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01830555,"about_ca_topic_score_gemma":0.0301941,"domain_scores_codex":[0.9990503,0.00001590668,0.00008528198,0.0003058633,0.00008290417,0.0004597555],"domain_scores_gemma":[0.9994583,0.000005122164,0.00002699426,0.0002390854,0.00005351264,0.0002170347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007212288,0.00005241799,0.02597014,0.00005759786,0.0007929631,0.00009855018,0.0002168415,0.0005462993,0.156167,0.0006173623,0.5438924,0.2715162],"study_design_scores_gemma":[0.0006472878,0.00002897853,0.726921,0.00005896611,0.00006128737,0.000003402256,0.0006987334,0.00005913015,0.003937309,0.0002275045,0.2668018,0.0005545988],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.918755,0.00316428,0.000026028,0.00757974,0.001228551,0.0003782945,0.00233946,0.0001670638,0.06636156],"genre_scores_gemma":[0.9730986,0.0002051613,0.00001742356,0.02518158,0.0007446495,0.00009275556,0.0002094219,0.0000403444,0.0004100098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7009509,"threshold_uncertainty_score":0.9882317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01758962699242385,"score_gpt":0.2546485128245638,"score_spread":0.23705888583214,"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."}}