{"id":"W4297132344","doi":"10.1332/policypress/9781447352150.003.0003","title":"Research methodology: tracking the role of medical doctors in healthcare reforms","year":2022,"lang":"en","type":"book-chapter","venue":"Policy Press eBooks","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Agency (philosophy); Situational ethics; Context (archaeology); Set (abstract data type); Politics; Political science; Healthcare policy; Process (computing); Tracking (education); Public relations; Management science; Sociology; Health policy; Computer science; Health care reform; Social science; Engineering; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02546954,0.0005058614,0.0005236649,0.0037184,0.002085572,0.005309472,0.001590927,0.00169412,0.008070023],"category_scores_gemma":[0.03594211,0.0005815191,0.0003250265,0.006357513,0.00642021,0.006682813,0.001657259,0.001754576,0.001885232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004845212,"about_ca_system_score_gemma":0.006205108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004008541,"about_ca_topic_score_gemma":0.006186217,"domain_scores_codex":[0.9742858,0.02155879,0.0005042902,0.001071053,0.002351562,0.0002284229],"domain_scores_gemma":[0.9462005,0.0485148,0.001481644,0.001493239,0.002045912,0.0002638556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000213774,0.00008317385,0.002731826,0.00137835,0.00002112677,0.00009464283,0.01625805,0.0007457779,0.0002911828,0.7713968,0.03213407,0.1748437],"study_design_scores_gemma":[0.00005388197,0.0001486818,0.007294522,0.004552893,0.00003753526,0.0003009471,0.03320258,0.004067528,0.001844344,0.3702758,0.5781542,0.00006706935],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02714142,0.026273,0.4811707,0.04197451,0.002993897,0.004766755,0.00233231,0.0003232891,0.4130242],"genre_scores_gemma":[0.2160439,0.03141993,0.6138762,0.01274406,0.001234586,0.01578367,0.001475942,0.0002733682,0.1071484],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02546954,"threshold_uncertainty_score":0.1346974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.472007787621898,"score_gpt":0.5846026038894662,"score_spread":0.1125948162675681,"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."}}