{"id":"W2136981262","doi":"10.1017/s0266462314000737","title":"DIFFERENCES IN EVALUATING HEALTH TECHNOLOGY ASSESSMENT KNOWLEDGE TRANSLATION BY RESEARCHERS AND POLICY MAKERS IN CHINA","year":2014,"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":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University","funders":"","keywords":"China; Knowledge translation; Political science; Medicine; Knowledge management; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08615998,0.0004852356,0.001014169,0.006025295,0.002336364,0.00513522,0.001301465,0.00117072,0.002096464],"category_scores_gemma":[0.1552672,0.000512432,0.001278594,0.007791606,0.002845314,0.003880547,0.004169662,0.0009300648,0.000265639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007700667,"about_ca_system_score_gemma":0.02179742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01990109,"about_ca_topic_score_gemma":0.01389196,"domain_scores_codex":[0.9127537,0.04289792,0.01586755,0.004044201,0.01987033,0.004566251],"domain_scores_gemma":[0.8731619,0.07335407,0.02378874,0.005801531,0.01832882,0.005565026],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004948577,0.000310248,0.787244,0.00174012,0.0003808942,0.0003958675,0.0878854,0.00092593,0.001137486,0.002739522,0.001005781,0.1157399],"study_design_scores_gemma":[0.0001376095,0.0005755385,0.9260269,0.001259158,0.0002168255,0.0001842794,0.05924429,0.00231971,0.001218184,0.002201378,0.006487004,0.0001291035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881392,0.002214062,0.0009110741,0.002606037,0.00006665748,0.0003515974,0.0001736313,0.00001860536,0.005519134],"genre_scores_gemma":[0.997835,0.0006345936,0.0006350531,0.0002462461,0.00002061695,0.0001986817,0.00009317116,0.000005569452,0.0003311844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.91384,"threshold_uncertainty_score":0.455663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3543185550967982,"score_gpt":0.570564601557955,"score_spread":0.2162460464611568,"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."}}