{"id":"W4200599422","doi":"10.51731/cjht.2021.201","title":"Givosiran (Givlaari)","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Porphyrin Metabolism and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Medicine; Family medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002447487,0.0003924164,0.0002818024,0.0009475522,0.0002750781,0.0006536894,0.0005429729,0.0009257941,0.03354809],"category_scores_gemma":[0.0004319277,0.0001115035,0.0003983376,0.000508289,0.0002879054,0.000426166,0.0005088217,0.001151686,0.01267718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009159977,"about_ca_system_score_gemma":0.001162164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00990784,"about_ca_topic_score_gemma":0.0205366,"domain_scores_codex":[0.9998692,0.00001935065,0.00001076227,0.00002796469,0.00005242445,0.0000202244],"domain_scores_gemma":[0.9998889,0.00002040725,0.00002139082,0.000006851315,0.0000375394,0.00002492197],"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":[0.0005192852,0.0001200969,0.0002974048,0.00274243,0.00005735371,0.0004707527,0.00006152516,0.000192891,0.01510105,0.006297161,0.1427075,0.8314327],"study_design_scores_gemma":[0.0001690608,0.0004002275,0.001262564,0.0008960004,0.00006107867,0.001284177,0.00004130205,0.0001136382,0.006559794,0.0006948272,0.988498,0.00001935664],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01601272,0.6387224,0.003615798,0.01007778,0.003709119,0.0004279013,0.004072779,0.001301202,0.3220604],"genre_scores_gemma":[0.1471988,0.4955066,0.007970127,0.0138707,0.001031657,0.0003450434,0.008126654,0.000228192,0.3257222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03354809,"threshold_uncertainty_score":0.1122295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199667143549142,"score_gpt":0.2483263332024099,"score_spread":0.2363296617669184,"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."}}