{"id":"W4396728885","doi":"10.1080/23288604.2024.2330974","title":"Fifteen Lessons from Fifteen Years of the Health Intervention and Technology Assessment Program in Thailand","year":2023,"lang":"en","type":"article","venue":"Health Systems & Reform","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Health Systems Research Institute; Ministry of Public Health; Foreign, Commonwealth and Development Office; Department for International Development; United Nations; Rockefeller Foundation; Department for International Development, UK Government; United Nations Development Programme; Bill and Melinda Gates Foundation","keywords":"Medicine; Intervention (counseling); Gerontology; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05261022,0.0009814696,0.0009229273,0.001290901,0.009962737,0.01509989,0.002858266,0.003985008,0.004603262],"category_scores_gemma":[0.03784327,0.0007935404,0.0009860604,0.001950979,0.01312105,0.009122119,0.01785875,0.013523,0.001010769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01544136,"about_ca_system_score_gemma":0.04400198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02162206,"about_ca_topic_score_gemma":0.02880348,"domain_scores_codex":[0.9622566,0.02658942,0.001664023,0.001201622,0.003144002,0.005144407],"domain_scores_gemma":[0.9576735,0.01332017,0.001615006,0.001408417,0.005040312,0.02094258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007695655,0.002913352,0.02659974,0.002841125,0.0002641895,0.005991028,0.3823877,0.002142078,0.001200021,0.06509729,0.07289635,0.4368977],"study_design_scores_gemma":[0.0002336528,0.002475542,0.02152881,0.006316999,0.0001077697,0.001674557,0.3723956,0.0006401332,0.002131267,0.02967011,0.5624657,0.000359788],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.396524,0.05283509,0.01339423,0.435854,0.006506392,0.001524073,0.0011659,0.000411597,0.09178473],"genre_scores_gemma":[0.8901154,0.02367726,0.0143979,0.04341729,0.0009948452,0.001638803,0.0006632857,0.0002372362,0.02485795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05261022,"threshold_uncertainty_score":0.2782328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4294853140008691,"score_gpt":0.5829073167096547,"score_spread":0.1534220027087855,"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."}}