{"id":"W1902079912","doi":"10.69645/lmus1181","title":"Pharmacogenomics in cancer therapy","year":2015,"lang":"en","type":"article","venue":"The biomedical & life sciences collection.","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Pharmacogenomics; Biology; Cancer therapy; Cancer; Medical physics; Computational biology; Bioinformatics; Genetics; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000969225,0.00009318915,0.0001208915,0.0001554335,0.0007586791,0.0001755234,0.0003234896,0.00003105496,0.002075766],"category_scores_gemma":[0.00003899486,0.00005715168,0.00004141051,0.0005056816,0.001363717,0.0001627205,0.0000469519,0.0001492684,0.00007363199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001145598,"about_ca_system_score_gemma":0.0007393463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003921451,"about_ca_topic_score_gemma":0.0187025,"domain_scores_codex":[0.9987658,0.000105878,0.000220288,0.0002061639,0.0004467685,0.000255104],"domain_scores_gemma":[0.9995105,0.00006771924,0.00006082492,0.00007953979,0.00009614068,0.0001852779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001248974,0.0006958318,0.008689911,0.000009592967,0.00008008804,0.000009985127,0.03423699,0.0001987283,0.0005061334,0.01889667,0.9224387,0.01411242],"study_design_scores_gemma":[0.0006444959,0.0001605651,0.0006462719,0.000006016673,0.000004419451,0.000001372473,0.001945873,0.003355057,0.00003503275,0.003348269,0.989742,0.0001106486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8830973,0.002699721,0.00005101788,0.01537242,0.0082323,0.000590935,0.00003702031,0.00009025023,0.08982904],"genre_scores_gemma":[0.9836875,0.0003571022,0.00001071804,0.002249944,0.001083199,0.00005943148,0.000001635793,0.000006318571,0.01254418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1005902,"threshold_uncertainty_score":0.9992036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1173000721535092,"score_gpt":0.3333636862181305,"score_spread":0.2160636140646213,"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."}}