{"id":"W4390979646","doi":"10.1111/1467-9566.13751","title":"‘Staying in the lane’ of public health? Boundary‐work in the roles of state health officials and experts in COVID‐19 policymaking","year":2024,"lang":"en","type":"article","venue":"Sociology of Health & Illness","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Greenwall Foundation; National Science Foundation","keywords":"Coronavirus disease 2019 (COVID-19); Governor; Public health; Work (physics); Pandemic; Public relations; State (computer science); Public administration; Political science; Boundary-work; Health policy; 2019-20 coronavirus outbreak; Public policy; Sociology; Medicine; Nursing; Social science; Law; Engineering","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.1112009,0.0005443277,0.0009912079,0.003472791,0.03827671,0.02331388,0.003112025,0.01261209,0.003518284],"category_scores_gemma":[0.1038675,0.001232012,0.0008085677,0.002267577,0.148703,0.02683312,0.02278558,0.01318533,0.000582858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01438625,"about_ca_system_score_gemma":0.02673765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01517612,"about_ca_topic_score_gemma":0.01252659,"domain_scores_codex":[0.7946015,0.1839091,0.002580911,0.002843651,0.004335328,0.01172945],"domain_scores_gemma":[0.8249371,0.1498532,0.006562257,0.003515028,0.004442075,0.01069027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002424575,0.00003159701,0.00156574,0.00006922489,0.000004688528,0.0003216648,0.8787704,0.0001103738,0.0001402029,0.1138807,0.001462608,0.003618653],"study_design_scores_gemma":[0.00001388453,0.00001907582,0.0007567797,0.000363924,0.000003563905,0.00009699896,0.938533,0.0001644742,0.0001095549,0.04320423,0.01669896,0.00003560608],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4408349,0.005196053,0.02165375,0.4324442,0.00121287,0.0001965961,0.00003297905,0.00008102674,0.09834756],"genre_scores_gemma":[0.9914895,0.000371263,0.001392248,0.005346305,0.00006474864,0.00009365959,0.000005443708,0.00001641347,0.001220456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9617233,"threshold_uncertainty_score":0.5880936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1779005565001209,"score_gpt":0.5256892844873544,"score_spread":0.3477887279872335,"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."}}