{"id":"W2783770541","doi":"10.1017/s0266462317001295","title":"OP30 Health Technology Assessment And The Decision-Making Process Of New Drug Listing In Hong Kong","year":2017,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Formulary; Listing (finance); Transparency (behavior); Medicine; Excellence; Documentation; Health technology; Nice; Health care; Business; Family medicine; Political science; Computer science; Law","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":[0.05322726,0.000365965,0.0007294077,0.003734127,0.001329028,0.006492897,0.0007334712,0.0009778417,0.006492378],"category_scores_gemma":[0.09207889,0.0004191424,0.001274303,0.007573574,0.001529287,0.001899482,0.002298217,0.001036913,0.0005560248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0180967,"about_ca_system_score_gemma":0.06039795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1146334,"about_ca_topic_score_gemma":0.06876423,"domain_scores_codex":[0.9475298,0.03431391,0.009237657,0.001239592,0.006289207,0.001389935],"domain_scores_gemma":[0.8226576,0.1197714,0.02640394,0.002980667,0.02477286,0.003413524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002822001,0.0005873924,0.193826,0.05840726,0.001523466,0.003368473,0.01399166,0.007416255,0.0007804736,0.01963758,0.06733216,0.6303073],"study_design_scores_gemma":[0.0009321956,0.002508559,0.5312449,0.05819311,0.002323149,0.001563152,0.01800594,0.007478461,0.004625828,0.006286373,0.3662261,0.0006123509],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4303301,0.342806,0.009072457,0.05392991,0.001327745,0.009435159,0.01673963,0.0003213292,0.1360378],"genre_scores_gemma":[0.8806689,0.08789585,0.01201562,0.003895334,0.0003018106,0.002362671,0.003493134,0.00004360325,0.009323078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1146334,"threshold_uncertainty_score":0.281496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1507428189282136,"score_gpt":0.5383174509501218,"score_spread":0.3875746320219082,"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."}}