{"id":"W4389223133","doi":"10.1080/13561820.2023.2280586","title":"Optimizing rural healthcare through improved team function: a case study of the Rural Surgical Obstetrical Networks programme","year":2023,"lang":"en","type":"article","venue":"Journal of Interprofessional Care","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Capital Regional District; University of British Columbia","funders":"","keywords":"Health care; Function (biology); Medicine; Nursing; Medical education; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003806803,0.0003078731,0.0003151033,0.0006640941,0.008226969,0.001877273,0.001576659,0.0009613471,0.002191086],"category_scores_gemma":[0.008675945,0.0003533123,0.0002292165,0.001089733,0.002454765,0.0008785634,0.00340892,0.001712876,0.0001486163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01100936,"about_ca_system_score_gemma":0.02245512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1612352,"about_ca_topic_score_gemma":0.4801191,"domain_scores_codex":[0.9946301,0.003537216,0.0000712384,0.0002069903,0.0003859312,0.001168455],"domain_scores_gemma":[0.9956973,0.001716818,0.0004845209,0.0001624482,0.000445867,0.001493189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002052485,0.001814362,0.06084415,0.0008734128,0.00005132235,0.02715673,0.7973114,0.001112161,0.001550814,0.005712916,0.007919187,0.09544833],"study_design_scores_gemma":[0.00006263625,0.001004411,0.04007003,0.0006398147,0.00003743939,0.003097294,0.920782,0.0009212733,0.0004623476,0.001202745,0.0316744,0.00004549484],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894545,0.0002988096,0.0006412116,0.00259911,0.00002622643,0.0002254043,0.00003502513,0.000008585332,0.006711214],"genre_scores_gemma":[0.9938175,0.0008140512,0.0016031,0.0007218225,0.00001508582,0.000166464,0.0000282237,0.00001439874,0.00281925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1612352,"threshold_uncertainty_score":0.3205934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05329212961149953,"score_gpt":0.431253022661107,"score_spread":0.3779608930496075,"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."}}