{"id":"W3099880464","doi":"10.1016/j.socscimed.2020.113528","title":"Modes of coordination for health technology adoption: Health Technology Assessment agencies and Group Procurement Organizations in a polycentric regulatory regime","year":2020,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Public Procurement and Policy","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; Simon Fraser University; University of Toronto; Toronto General Hospital; University Health Network; Ted Rogers Centre for Heart Research; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Procurement; Health technology; Work (physics); Business; Sustainability; Public relations; Economics; Political science; Health care; Marketing; Economic growth; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00109854,0.000113966,0.0002933401,0.0009577504,0.0004646869,0.00003149453,0.0002764748,0.0000663433,0.00001555386],"category_scores_gemma":[0.000467963,0.0001021016,0.000013761,0.006216552,0.0006945978,0.000502485,0.0001200929,0.0001109053,6.971659e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002901657,"about_ca_system_score_gemma":0.0005448727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001725253,"about_ca_topic_score_gemma":0.00006535996,"domain_scores_codex":[0.9985257,0.000009820481,0.0003946075,0.0003005075,0.0003943759,0.0003749445],"domain_scores_gemma":[0.9990941,0.00001042894,0.0004405938,0.000092637,0.0003286182,0.00003366541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001379765,0.00007706895,0.03561763,0.0003789703,0.000007584892,3.158629e-7,0.001951553,0.000003503549,0.003958204,0.9295308,0.005500217,0.02296033],"study_design_scores_gemma":[0.02335796,0.004007809,0.3276049,0.001937324,0.0002479939,0.00001381987,0.1376047,0.04318687,0.001210076,0.1873088,0.27104,0.00247967],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1589172,0.001053025,0.008542265,0.8278837,0.0001782364,0.001686717,0.000004818031,0.0002296363,0.001504335],"genre_scores_gemma":[0.994504,0.00004200704,0.0003241031,0.004603633,0.0004298636,0.00005209196,0.0000174127,0.000008850117,0.00001806881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8355867,"threshold_uncertainty_score":0.4163581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03219803815518773,"score_gpt":0.3291001403362356,"score_spread":0.2969021021810478,"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."}}