{"id":"W3133034676","doi":"10.1158/1538-7445.sabcs20-ps4-26","title":"Abstract PS4-26: Impact of TAILORx data on chemotherapy prescribing in British Columbia","year":2021,"lang":"en","type":"article","venue":"Cancer Research","topic":"Multiple and Secondary Primary Cancers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Breast cancer; Cohort; Internal medicine; Retrospective cohort study; Cancer; Oncology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007753955,0.00008342745,0.0003495753,0.00009341908,0.00006663857,0.0001115709,0.0003333769,0.00009555975,0.00887562],"category_scores_gemma":[0.0002512609,0.0001145069,0.00008675901,0.0005247328,0.0001589895,0.0001774122,0.0001479457,0.0006991295,0.00001319836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006915174,"about_ca_system_score_gemma":0.002197215,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1093748,"about_ca_topic_score_gemma":0.08380659,"domain_scores_codex":[0.9979939,0.00008937068,0.0002936599,0.0005154006,0.0006247341,0.0004829609],"domain_scores_gemma":[0.9984023,0.0001577286,0.0000456467,0.000943431,0.000278367,0.0001725348],"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":[0.0007875938,0.0005042526,0.2641216,0.0005602314,0.0002499004,0.0008572643,0.0003750888,0.00007357323,0.1589227,0.000001769321,0.3276429,0.2459032],"study_design_scores_gemma":[0.004369494,0.0003632452,0.9649567,0.001078797,0.000009929988,0.00002711,0.0002678656,0.0002174105,0.009212184,0.00003735681,0.01929571,0.0001641927],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924209,0.002473413,0.000001148198,0.0009523692,0.00008478086,0.0004059543,0.0003149461,0.00001959517,0.003326908],"genre_scores_gemma":[0.9938982,0.003377471,0.00006836351,0.0005108891,0.0002414636,0.00003735815,0.0001529943,0.00004501508,0.001668297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7008352,"threshold_uncertainty_score":0.9920304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1654957897812263,"score_gpt":0.4498005009759668,"score_spread":0.2843047111947404,"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."}}