{"id":"W2166816690","doi":"10.1017/s0266462310001042","title":"Health technology assessment for resource allocation decisions: Are key principles relevant for Latin America?","year":2010,"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":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Key (lock); Latin Americans; Resource allocation; Resource (disambiguation); Health technology; Business; Public economics; Political science; Risk analysis (engineering); Environmental economics; Computer science; Economic growth; Economics; Health care; Computer security; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.05787992,0.000743327,0.00108966,0.00417775,0.001736427,0.01347747,0.001565992,0.002502281,0.002608579],"category_scores_gemma":[0.09322483,0.0004383133,0.0008396924,0.007624111,0.006700654,0.00808804,0.005262829,0.004142969,0.000417997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008157672,"about_ca_system_score_gemma":0.03212192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01064868,"about_ca_topic_score_gemma":0.009459955,"domain_scores_codex":[0.963408,0.02517675,0.003176082,0.001021158,0.005615646,0.001602332],"domain_scores_gemma":[0.8911515,0.07719177,0.01340158,0.002834512,0.01329214,0.002128423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002365037,0.000461954,0.1146049,0.01562583,0.0004338249,0.0005417475,0.02448637,0.004625619,0.001490149,0.1285921,0.02029899,0.688602],"study_design_scores_gemma":[0.0002437666,0.0008470723,0.2384603,0.04611607,0.0006440752,0.001325132,0.09985386,0.006498229,0.003241793,0.2844993,0.3179172,0.0003532052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1635171,0.08280712,0.06369073,0.5153565,0.001111052,0.001651674,0.001292265,0.0003533198,0.1702203],"genre_scores_gemma":[0.887165,0.03195104,0.06261894,0.01481872,0.0005932903,0.000773263,0.0004426735,0.00004795238,0.001589051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05787992,"threshold_uncertainty_score":0.306102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1976692657645856,"score_gpt":0.4970217525830868,"score_spread":0.2993524868185012,"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."}}