{"id":"W4319989831","doi":"10.1370/afm.21.s1.4327","title":"Public Health and Primary Health Care Collaboration in Eight High-Income Countries During the Covid-19 Pandemic","year":2023,"lang":"en","type":"article","venue":"","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Public health; International Health Regulations; Context (archaeology); Jurisdiction; Strengths and weaknesses; Grey literature; Pandemic; Health care; Business; Global health; Triage; Public relations; Political science; Medicine; Economic growth; Nursing; Qualitative research; Psychology; MEDLINE; Coronavirus disease 2019 (COVID-19); Geography; Sociology; Disease; Economics; Medical emergency; Infectious disease (medical specialty)","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":[0.02423119,0.0002792972,0.0006763738,0.0032382,0.005434871,0.004247835,0.001273602,0.001466864,0.001994715],"category_scores_gemma":[0.03549379,0.0006704738,0.0003999145,0.008289775,0.004071052,0.003300125,0.006635079,0.001299601,0.0001101285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01085915,"about_ca_system_score_gemma":0.02781287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07703995,"about_ca_topic_score_gemma":0.1104299,"domain_scores_codex":[0.9763818,0.01635225,0.001813618,0.0007983177,0.001215043,0.003438921],"domain_scores_gemma":[0.9525298,0.03133271,0.00669341,0.0009761365,0.004437848,0.004030037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002697096,0.0001364234,0.2410433,0.005898655,0.0001862721,0.005886459,0.6907178,0.0004334456,0.000315682,0.00447822,0.006316693,0.04431744],"study_design_scores_gemma":[0.00002728078,0.00009531512,0.1185173,0.00337043,0.00006556006,0.0006020799,0.8662848,0.0001059558,0.0001250652,0.0003599372,0.01041163,0.00003463633],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813401,0.005689451,0.0003734815,0.004854764,0.0000772882,0.0003477716,0.000678284,0.00001451175,0.006624266],"genre_scores_gemma":[0.9957282,0.001983551,0.0009184167,0.0007505015,0.00001191858,0.0002387097,0.0001833976,0.000004203376,0.0001810957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07703995,"threshold_uncertainty_score":0.153183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08462766527302498,"score_gpt":0.4044261540729672,"score_spread":0.3197984887999422,"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."}}