{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01537388,0.0007238004,0.0008993864,0.000757102,0.006527554,0.00662466,0.003684662,0.05730463,0.007194642],"category_scores_gemma":[0.0592625,0.0008588458,0.001302106,0.0008994619,0.009657151,0.01301589,0.003888735,0.049958,0.005118527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009506034,"about_ca_system_score_gemma":0.01846847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01474298,"about_ca_topic_score_gemma":0.0273884,"domain_scores_codex":[0.985117,0.007566281,0.0008587287,0.00152998,0.003543033,0.001385],"domain_scores_gemma":[0.9434248,0.04138482,0.002468789,0.001376987,0.006717123,0.004627437],"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":[0.00001645216,0.00002097519,0.0002725812,0.0001192093,0.00001030592,0.0003737697,0.0004121126,0.00008249277,0.00009258775,0.00965633,0.9794403,0.009502846],"study_design_scores_gemma":[0.00008081581,0.00006755093,0.000738686,0.0009460601,0.00002270288,0.0008546859,0.001741769,0.0004344999,0.0002987644,0.03095325,0.9637923,0.00006906196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00009424111,0.0009967225,0.000120097,0.9944094,0.003502269,0.000004208202,0.000007143057,0.00000873034,0.0008571428],"genre_scores_gemma":[0.001556445,0.000921499,0.0002459281,0.9888742,0.007248594,0.00002164581,0.000005703567,0.000009725755,0.001116132],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05730463,"threshold_uncertainty_score":0.08130574,"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."}}