{"id":"W2408016393","doi":"10.1158/1538-7445.sabcs15-ot3-02-12","title":"Abstract OT3-02-12: OPTIMA (optimal personalised treatment of early breast cancer usIng multi-parameter analysis), a prospective trial to validate the predictive utility and cost-effectiveness of gene expression test-directed chemotherapy decisions","year":2016,"lang":"en","type":"article","venue":"Cancer Research","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Medicine; Breast cancer; Oncology; Internal medicine; Population; Randomized controlled trial; Stage (stratigraphy); Cancer; Gynecology; Biology","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":[0.003927706,0.001273742,0.001769606,0.0003352897,0.0001957889,0.001109195,0.0007043143,0.001309667,0.005725863],"category_scores_gemma":[0.003785841,0.0004004486,0.001893497,0.0003406009,0.0008505098,0.0007592862,0.0005298546,0.003154601,0.0005910509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008878947,"about_ca_system_score_gemma":0.001072412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007596011,"about_ca_topic_score_gemma":0.0006940548,"domain_scores_codex":[0.9984754,0.001193001,0.00003533286,0.0001470432,0.00007142984,0.00007786061],"domain_scores_gemma":[0.9974043,0.001377125,0.0005978672,0.0002129084,0.00008008155,0.0003277293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9706214,0.00424798,0.001040771,0.0002588291,0.0005182063,0.00001544012,0.00002035548,0.002377534,0.001838559,0.0002067137,0.0008203308,0.01803373],"study_design_scores_gemma":[0.83048,0.1545689,0.00407339,0.00007134429,0.0006426231,0.00004982815,0.00001427675,0.007902921,0.0009674461,0.000483912,0.0007155979,0.00002975204],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987535,0.0029524,0.002533632,0.0009033232,0.0001648368,0.001976848,0.001615881,0.0002179012,0.00210014],"genre_scores_gemma":[0.9891804,0.0006273545,0.004220115,0.0006278363,0.0001456964,0.002428211,0.001064174,0.00004430592,0.001661807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005725863,"threshold_uncertainty_score":0.02077198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1115430988299304,"score_gpt":0.4249607962156463,"score_spread":0.3134176973857159,"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."}}