{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007828015,0.0002059909,0.0002093123,0.0009984338,0.00112374,0.00101769,0.0004361896,0.0004863493,0.002093972],"category_scores_gemma":[0.002842622,0.00008176987,0.0001516882,0.0008403611,0.001748219,0.0008434477,0.0008229688,0.001177673,0.0003198028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005433309,"about_ca_system_score_gemma":0.007160059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2559749,"about_ca_topic_score_gemma":0.4256093,"domain_scores_codex":[0.9995028,0.00007654103,0.00002213473,0.00003852015,0.0002443666,0.0001156401],"domain_scores_gemma":[0.9991898,0.0001630935,0.0001080217,0.00003659507,0.0003697846,0.0001328072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001650063,0.00005429756,0.1086963,0.0006490182,0.00002760869,0.009600171,0.006841103,0.0002085197,0.006258521,0.04246227,0.1848105,0.6402267],"study_design_scores_gemma":[0.00002259488,0.0001345305,0.1762269,0.002245977,0.00007566802,0.05217145,0.01219695,0.0002605442,0.003068281,0.01693285,0.7366017,0.00006260525],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2395563,0.324026,0.004805723,0.1294768,0.004715184,0.0003047231,0.00131407,0.0001964673,0.2956047],"genre_scores_gemma":[0.721111,0.2090167,0.01001855,0.03104089,0.002506322,0.00005719327,0.0009454709,0.00007900812,0.02522497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7440251,"threshold_uncertainty_score":0.50897,"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."}}