{"id":"W4224983988","doi":"10.1108/ijhg-10-2021-0108","title":"Health technology assessment processes: a North-South comparison of the evaluation and recommendation of health technologies in Canada and Chile","year":2022,"lang":"en","type":"article","venue":"International Journal of Health Governance","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; McMaster University; Hamilton Health Sciences","funders":"","keywords":"Scope (computer science); Health technology; Christian ministry; Originality; Process (computing); Political science; Business; Medicine; Health care; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00492327,0.0003903016,0.0006629928,0.00576728,0.005241616,0.005682285,0.001523968,0.0007888707,0.005644988],"category_scores_gemma":[0.01864217,0.0004488845,0.0009281942,0.01160343,0.003292995,0.00150182,0.005170924,0.001591299,0.0002864772],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1530223,"about_ca_system_score_gemma":0.1682427,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9800289,"about_ca_topic_score_gemma":0.9763809,"domain_scores_codex":[0.9925835,0.001256493,0.0005263465,0.0006544124,0.00220469,0.00277468],"domain_scores_gemma":[0.9833628,0.004421093,0.002420641,0.0006929362,0.007094012,0.002008464],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001359818,0.000417478,0.776438,0.002175136,0.0006640411,0.001640633,0.06635106,0.003188165,0.001670121,0.05519274,0.01148467,0.07941819],"study_design_scores_gemma":[0.00009177809,0.00007847277,0.8907425,0.0005511779,0.000138015,0.0001331231,0.07536834,0.001177264,0.0005547378,0.001174815,0.02989075,0.00009896661],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9282795,0.003266414,0.0007694109,0.006465021,0.00003606733,0.0006452325,0.005628774,0.00004226348,0.05486736],"genre_scores_gemma":[0.9911826,0.001208885,0.0006480278,0.0006444638,0.000009079459,0.0002397805,0.001917145,0.00002483357,0.004125178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9950767,"threshold_uncertainty_score":0.9823741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2197342246961916,"score_gpt":0.4590071702541301,"score_spread":0.2392729455579386,"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."}}