{"id":"W4280551961","doi":"10.51731/cjht.2022.329","title":"Somatrogon (Ngenla)","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Pharmaceutical studies and practices","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004258566,0.0002702518,0.0002616385,0.001002187,0.0002100242,0.0005751396,0.0002875318,0.000374984,0.01037941],"category_scores_gemma":[0.0005168518,0.00006049388,0.0003723978,0.0006022103,0.0002849574,0.0003398719,0.0003424588,0.0005611369,0.001887127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001193526,"about_ca_system_score_gemma":0.001511359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007358117,"about_ca_topic_score_gemma":0.03420335,"domain_scores_codex":[0.9998302,0.00003152983,0.00001304827,0.00001874334,0.00008481353,0.00002160919],"domain_scores_gemma":[0.9997976,0.00005765787,0.00005198528,0.000007202696,0.00004415768,0.00004145609],"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":[0.001066001,0.0001625951,0.001099587,0.005513806,0.0001108073,0.0003625367,0.00007172742,0.0001753593,0.01155689,0.001725743,0.02431275,0.9538423],"study_design_scores_gemma":[0.0007673355,0.002752834,0.01230935,0.004291639,0.0003867704,0.003219632,0.0001944153,0.0001869479,0.01313793,0.0006190262,0.9620962,0.00003799838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.04081831,0.8705115,0.001110504,0.002383655,0.0005764622,0.0002757836,0.002236428,0.0003339889,0.08175339],"genre_scores_gemma":[0.2979232,0.6084077,0.006702952,0.005342952,0.0003478201,0.0003530697,0.004398185,0.00007195835,0.07645214],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01037941,"threshold_uncertainty_score":0.03472257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08723218125982363,"score_gpt":0.378039925028314,"score_spread":0.2908077437684903,"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."}}