{"id":"W6961351715","doi":"10.14288/1.0401878","title":"Describing Sources of Uncertainty in Cancer Drug Formulary Priority Setting across Canada","year":2021,"lang":"en","type":"article","venue":"Open Collections","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Formulary; Cancer drugs; Clinical trial; MEDLINE; Cancer; Alternative medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07088514,0.0005069103,0.0008517721,0.004427182,0.03461616,0.01400597,0.004387139,0.002900978,0.002299325],"category_scores_gemma":[0.1418242,0.0009688898,0.0007138556,0.00818326,0.01677961,0.003918029,0.01015028,0.005078432,0.0001152372],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.3247705,"about_ca_system_score_gemma":0.3913789,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9747416,"about_ca_topic_score_gemma":0.9722516,"domain_scores_codex":[0.9018364,0.04894964,0.005777859,0.004533057,0.02551571,0.01338735],"domain_scores_gemma":[0.790688,0.1416115,0.01382864,0.003995689,0.04041895,0.009457304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001380659,0.00003978835,0.02277124,0.000713056,0.0001329315,0.002554006,0.862919,0.002776957,0.0009149635,0.05716519,0.008319922,0.04155498],"study_design_scores_gemma":[0.00006008268,0.00005812471,0.02116859,0.001743615,0.0001051909,0.0003618946,0.7880401,0.00470551,0.001040453,0.02513933,0.1572629,0.0003142645],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7356481,0.008152345,0.02528173,0.1321952,0.0003589146,0.001397127,0.001076225,0.0001344633,0.09575588],"genre_scores_gemma":[0.9916754,0.0009029762,0.003474305,0.002172807,0.0000197842,0.000101481,0.00008822901,0.00002256321,0.001542448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3247705,"threshold_uncertainty_score":0.7831705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01935221785501479,"score_gpt":0.2710065619197475,"score_spread":0.2516543440647327,"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."}}