{"id":"W4312184486","doi":"10.9745/ghsp-d-22-00516","title":"Nurturing and Optimizing Networks of Care to Maximize Benefits to Patients, Health Workers, and Health Systems","year":2022,"lang":"en","type":"letter","venue":"Global Health Science and Practice","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health; University of Alberta","funders":"","keywords":"Panacea (medicine); Health care; Optimism; Business; Quality (philosophy); Public relations; Risk analysis (engineering); Medicine; Economic growth; Political science; Psychology; Economics; Alternative medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003178261,0.0004101619,0.001189224,0.0002434562,0.001243743,0.0001699427,0.0002800446,0.000180341,0.000005467865],"category_scores_gemma":[0.0002252029,0.0003716919,0.00003893367,0.00113082,0.0001690612,0.0003263115,0.0005495406,0.001082979,0.000002404775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002008815,"about_ca_system_score_gemma":0.003171017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02743113,"about_ca_topic_score_gemma":0.0001953358,"domain_scores_codex":[0.9946641,0.0002890562,0.0009717838,0.001122381,0.001496392,0.00145632],"domain_scores_gemma":[0.9961581,0.0001625249,0.0009290596,0.0004419924,0.000508826,0.001799549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001787912,0.0001718481,0.03561744,0.01623467,0.00006884876,0.0000811752,0.005403277,0.001110263,2.255648e-7,0.0005777443,0.8162458,0.1227008],"study_design_scores_gemma":[0.001418081,0.007236399,0.1132899,0.004958139,0.00005944329,0.0009740427,0.005420002,0.00009912706,1.780518e-7,0.00001025002,0.866055,0.0004794545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01628911,0.0546781,0.00008399834,0.9228572,0.00155951,0.003322043,0.000351232,0.00005817811,0.0008005871],"genre_scores_gemma":[0.03022645,0.01393602,0.005400584,0.9494546,0.0007682624,0.00004619419,0.00009618255,0.00003107969,0.00004059086],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1222213,"threshold_uncertainty_score":0.9998735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03126663195587204,"score_gpt":0.3554343213247442,"score_spread":0.3241676893688721,"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."}}