{"id":"W4200199254","doi":"10.51731/cjht.2021.199","title":"Larotrectinib (Vitrakvi)","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Colorectal Cancer Treatments and Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Medicine; Food and drug administration; Drug; Intensive care medicine; Family medicine; Pharmacology; Political science; Health care","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":[],"consensus_categories":[],"category_scores_codex":[0.0001712458,0.00008470473,0.0003690354,0.0002254448,0.000180356,0.00001497087,0.00007006811,0.00006978663,0.00006519583],"category_scores_gemma":[0.0004453452,0.00006523923,0.00009046677,0.0002944506,0.0001020239,0.00003743886,0.00001217204,0.0002712054,0.000004864279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000416585,"about_ca_system_score_gemma":0.004307175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001531785,"about_ca_topic_score_gemma":0.009561071,"domain_scores_codex":[0.9991753,0.00002164969,0.0003085924,0.00009514666,0.0001029495,0.000296364],"domain_scores_gemma":[0.9993418,0.00002850249,0.0001493341,0.0001453611,0.0002486664,0.00008631721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002596603,0.00003729012,0.03317323,0.00008302276,0.0001644994,0.002012719,0.0003741115,9.146465e-7,0.0000511152,0.0004548974,0.01042975,0.9531925],"study_design_scores_gemma":[0.001327952,0.001342076,0.1005322,0.0004213577,0.00006043005,0.003808246,0.009778245,0.000001242325,0.003828634,0.002061573,0.8767079,0.0001301714],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4090218,0.4113629,0.00005025005,0.1722622,0.0008649857,0.0002267856,0.00002020036,0.0001131012,0.006077825],"genre_scores_gemma":[0.996426,0.001757293,0.0006812061,0.0007943943,0.0000149133,0.000003693906,0.000001503832,0.000007931777,0.0003130029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9530623,"threshold_uncertainty_score":0.7640743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03795991233794819,"score_gpt":0.3180267410282164,"score_spread":0.2800668286902682,"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."}}