{"id":"W1972299246","doi":"10.4103/2229-3485.96449","title":"Health technology assessment and its role in the future development of the Indian healthcare sector","year":2012,"lang":"en","type":"article","venue":"Perspectives in Clinical Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Health technology; Business; Context (archaeology); Government (linguistics); Gross domestic product; Economic growth; Public economics; Poverty; Population; Medicine; Economics; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08811614,0.0001062854,0.0006662582,0.0005397382,0.0002668975,0.00002434991,0.0005674107,0.0002254268,0.00005124979],"category_scores_gemma":[0.006139688,0.00008436648,0.00005795029,0.0008554394,0.0002588047,0.0001552264,0.0002311131,0.001398721,0.00005313939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249634,"about_ca_system_score_gemma":0.001107042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004749224,"about_ca_topic_score_gemma":0.003634308,"domain_scores_codex":[0.9928589,0.002689067,0.003069911,0.0004516343,0.0002430636,0.0006873872],"domain_scores_gemma":[0.9952596,0.003200767,0.0007628603,0.0005119423,0.0001072514,0.0001575382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008016957,0.0002738314,0.7120571,0.0001279709,0.00001109883,1.776073e-7,0.03843136,9.394871e-7,2.413008e-7,0.2471883,0.000214052,0.001686969],"study_design_scores_gemma":[0.0003509682,0.00008028812,0.842663,0.00007470814,2.614342e-7,0.000001688734,0.1385202,0.00006819961,0.000001039119,0.01223645,0.005932056,0.00007118404],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7453468,0.01801915,0.000008045324,0.234989,0.0002127089,0.0009244374,0.00002278672,0.000005925755,0.0004711305],"genre_scores_gemma":[0.9957913,0.001170515,0.0009638088,0.001526853,0.0003322416,0.0001666773,0.000001681678,0.00001253381,0.0000343786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2504445,"threshold_uncertainty_score":0.9389763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6954491250101058,"score_gpt":0.6507109603114264,"score_spread":0.04473816469867942,"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."}}