{"id":"W4311706233","doi":"10.3389/fpubh.2022.1046628","title":"“We need to talk to each other”: Crossing traditional boundaries between public health and occupational health to address COVID-19","year":2022,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research","keywords":"Public health; SWOT analysis; Strengths and weaknesses; Public relations; Coronavirus disease 2019 (COVID-19); Occupational safety and health; Environmental health; Qualitative research; Medicine; Business; Infectious disease (medical specialty); Political science; Nursing; Marketing; Psychology; Sociology; Disease; Social psychology; Pathology; Social science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02965081,0.0005830734,0.000594455,0.001889199,0.04534118,0.008996075,0.004160361,0.004628481,0.005232655],"category_scores_gemma":[0.02960517,0.0006803348,0.00066939,0.001863346,0.04152544,0.0078979,0.01996463,0.006753054,0.0005707562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06487937,"about_ca_system_score_gemma":0.1999049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6937861,"about_ca_topic_score_gemma":0.7038934,"domain_scores_codex":[0.9655336,0.01725366,0.0008013635,0.001844159,0.005048067,0.009519223],"domain_scores_gemma":[0.9705926,0.008997686,0.003692796,0.00132789,0.006004304,0.009384772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006219342,0.0000835863,0.03007703,0.0005699514,0.00002660138,0.0009894146,0.9019839,0.0002080599,0.0008405012,0.02212197,0.01006403,0.03297271],"study_design_scores_gemma":[0.00001316468,0.00005872304,0.01410006,0.0009071315,0.00002095322,0.0002286571,0.9029572,0.0001562536,0.0002518105,0.005565003,0.07569042,0.00005069068],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.5815382,0.007554843,0.0142878,0.2603613,0.00148263,0.0006148198,0.0001776929,0.0001341379,0.1338485],"genre_scores_gemma":[0.9847772,0.0009293884,0.002453197,0.008545282,0.00005088931,0.0001054915,0.00003023275,0.00001737022,0.003091026],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6937861,"threshold_uncertainty_score":0.6160344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2694790379381631,"score_gpt":0.4807693589526105,"score_spread":0.2112903210144473,"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."}}