{"id":"W2884456309","doi":"10.1017/s0266462318000405","title":"IMPACT OF HEALTH TECHNOLOGY ASSESSMENT REPORTS ON HOSPITAL DECISION MAKERS – 10-YEAR INSIGHT FROM A HOSPITAL UNIT IN SHERBROOKE, CANADA: IMPACT OF HEALTH TECHNOLOGY ASSESSMENT ON HOSPITAL DECISIONS","year":2018,"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":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"","keywords":"Unit (ring theory); Health technology; Medicine; Family medicine; Health care; Psychology; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.04216833,0.0006036916,0.0005769468,0.002988164,0.002495811,0.007787391,0.00186145,0.001155962,0.001217518],"category_scores_gemma":[0.1315295,0.0006128001,0.001254822,0.00458709,0.001546438,0.001697893,0.002846749,0.001827411,0.0001773421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04336176,"about_ca_system_score_gemma":0.05406184,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5858362,"about_ca_topic_score_gemma":0.6752356,"domain_scores_codex":[0.9530739,0.02239479,0.004616206,0.00097329,0.01569065,0.003251342],"domain_scores_gemma":[0.7747057,0.1208172,0.04702962,0.003334769,0.04705127,0.007061467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009891758,0.0005986052,0.7898633,0.00160393,0.000415892,0.002302494,0.06995028,0.0026876,0.0008616718,0.0005520898,0.006757466,0.1234174],"study_design_scores_gemma":[0.00007273964,0.000919193,0.8591334,0.001349991,0.0002469239,0.0003969159,0.119153,0.002137738,0.001436869,0.0001770255,0.01478531,0.0001909158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829458,0.002305754,0.0002961622,0.008368789,0.00004952413,0.0002352842,0.0005775071,0.00002510555,0.005196109],"genre_scores_gemma":[0.9956807,0.001839758,0.0008742686,0.0006312314,0.00003282107,0.00005937105,0.0002986146,0.000008135126,0.000574979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4141638,"threshold_uncertainty_score":0.8332058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09203286272474981,"score_gpt":0.4705672598347846,"score_spread":0.3785343971100348,"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."}}