{"id":"W2598237493","doi":"10.1200/jco.2012.30.15_suppl.tps665","title":"OPTIMA prelim: Optimal personalized treatment of early breast cancer using multiparameter analysis: Preliminary study.","year":2012,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Ontario Institute for Cancer Research","funders":"","keywords":"Medicine; Breast cancer; Oncology; Internal medicine; Population; Gynecology; Cancer","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":[0.00946958,0.0004788214,0.000866421,0.0002709342,0.0002318011,0.001012848,0.0006827029,0.0006550733,0.01229611],"category_scores_gemma":[0.02005449,0.0003284778,0.001263943,0.0003375352,0.000531571,0.0007966764,0.001405981,0.001011088,0.001130737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007709482,"about_ca_system_score_gemma":0.002013809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009411931,"about_ca_topic_score_gemma":0.0009128042,"domain_scores_codex":[0.9971012,0.002421087,0.00007467956,0.00012377,0.0001584238,0.0001208309],"domain_scores_gemma":[0.9895398,0.008131638,0.0006116456,0.0007974549,0.0003114878,0.0006079004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.1985215,0.0133987,0.01786448,0.004194568,0.0009268383,0.0002456088,0.001624785,0.02690579,0.004744043,0.0048283,0.01161407,0.7151313],"study_design_scores_gemma":[0.1318656,0.434336,0.1889644,0.003303561,0.004234007,0.001530782,0.002601066,0.1072158,0.01101668,0.02701789,0.08756253,0.0003515883],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9307542,0.007902417,0.02528546,0.004890092,0.0003294844,0.01045029,0.003894205,0.0005942576,0.01589956],"genre_scores_gemma":[0.9307397,0.002431467,0.0479379,0.001099782,0.0002158755,0.01230282,0.001356163,0.00011848,0.003797667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01229611,"threshold_uncertainty_score":0.05008054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1291823621215415,"score_gpt":0.4729301048396774,"score_spread":0.3437477427181359,"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."}}