{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002666148,0.00008405634,0.0001802913,0.0001314137,0.0001261207,0.00002229519,0.00025123,0.0001321151,0.00002125238],"category_scores_gemma":[0.0004872514,0.00007838052,0.00007585773,0.0001589516,0.0001219089,0.000004165908,0.00002610976,0.0001576461,0.000003874043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002417694,"about_ca_system_score_gemma":0.002780507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004648816,"about_ca_topic_score_gemma":0.002870147,"domain_scores_codex":[0.9991657,0.00004486752,0.0002863733,0.0001197131,0.0000714409,0.0003119673],"domain_scores_gemma":[0.9993587,0.000004877202,0.0001646203,0.0002450302,0.0001480594,0.00007871978],"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":[0.00002112896,0.00004650045,0.01543696,0.00007828906,0.0001070226,0.0003174387,0.0001531107,0.00005334722,0.0227987,0.003632945,0.0645913,0.8927633],"study_design_scores_gemma":[0.0003193622,0.0001293695,0.00523867,0.00002438136,0.000004366792,0.0002831833,0.001913093,6.352668e-7,0.02446982,0.002124815,0.9653836,0.0001086863],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4704638,0.5010536,0.001962075,0.02314645,0.0009270766,0.0001041764,0.00003205203,0.00003320995,0.002277524],"genre_scores_gemma":[0.9949498,0.002899658,0.00099441,0.0009785842,0.00002210207,0.000001314369,0.000009472225,0.0000092817,0.0001353556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9007923,"threshold_uncertainty_score":0.49325,"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."}}