{"id":"W2765469439","doi":"10.1504/ijhtm.2017.10008509","title":"Perceptions of health technology assessment knowledge translation in China: a qualitative study on HTA researchers and policy-makers","year":2017,"lang":"en","type":"article","venue":"International Journal of Healthcare Technology and Management","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Laurentian University","funders":"","keywords":"Health technology; Knowledge translation; China; Qualitative research; Health policy; Knowledge management; Political science; Public relations; Business; Sociology; Health care; Computer science; Social 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":[],"consensus_categories":[],"category_scores_codex":[0.03309894,0.0006524663,0.001390839,0.002915054,0.01450561,0.005536916,0.001573845,0.002590648,0.002911741],"category_scores_gemma":[0.0314906,0.000786098,0.0006924919,0.005100662,0.008904939,0.005354756,0.006019332,0.00338054,0.000247497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01992415,"about_ca_system_score_gemma":0.02461673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05539417,"about_ca_topic_score_gemma":0.03822559,"domain_scores_codex":[0.9765149,0.01566315,0.001230131,0.0009476678,0.001950059,0.003694023],"domain_scores_gemma":[0.9617823,0.02705433,0.003302684,0.001009374,0.003117493,0.003733749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003136731,0.00007284692,0.01255958,0.000121899,0.000008438767,0.000467815,0.9806985,0.00005368374,0.0005135021,0.0009473548,0.0002465012,0.004278548],"study_design_scores_gemma":[0.00001065227,0.00008207146,0.008398949,0.0001369618,0.0000120829,0.00009338637,0.9862713,0.0002475166,0.0002951816,0.0003375748,0.004085581,0.00002872863],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933695,0.0005743744,0.0004731791,0.003272965,0.00002795145,0.0001492335,0.00004689249,0.000007459313,0.00207844],"genre_scores_gemma":[0.9971821,0.000500513,0.0003208437,0.0008956439,0.00001032345,0.0001534239,0.00003344597,0.000006476184,0.0008973119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05539417,"threshold_uncertainty_score":0.175046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4820273723227067,"score_gpt":0.6058350385038208,"score_spread":0.1238076661811141,"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."}}