{"id":"W4249569051","doi":"10.21203/rs.3.rs-49446/v1","title":"Selecting contextually appropriate performance indicators for Northern maternity care systems: A modified Delphi approach","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Circumpolar Health Research; University of Toronto; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Delphi method; Delphi; Maternity care; Context (archaeology); Process management; Psychology; Environmental resource management; Environmental planning; Computer science; Geography; Knowledge management; Business; Political science; Economics; Artificial intelligence; Health care; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.08117845,0.0007375319,0.001187725,0.004184638,0.003372164,0.004933386,0.001727237,0.001209848,0.004251322],"category_scores_gemma":[0.1166368,0.0008367738,0.0009041418,0.004541455,0.002249628,0.003083233,0.005582376,0.002095572,0.0006068745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007647542,"about_ca_system_score_gemma":0.01460318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00943497,"about_ca_topic_score_gemma":0.01384303,"domain_scores_codex":[0.924446,0.05941655,0.005816151,0.001954744,0.005566719,0.002799811],"domain_scores_gemma":[0.8943817,0.08217833,0.003467175,0.003292727,0.01522614,0.001454072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001362068,0.001180631,0.05188898,0.008244861,0.0003180973,0.001085964,0.3940621,0.01310373,0.02434915,0.05782943,0.009442572,0.4371324],"study_design_scores_gemma":[0.0003315535,0.001596634,0.1192279,0.006094814,0.0005467684,0.000533868,0.694369,0.03860303,0.01933419,0.05854043,0.06038411,0.0004376974],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5540288,0.0004726248,0.3808264,0.004812092,0.0001282783,0.02428656,0.001338256,0.0003050151,0.03380204],"genre_scores_gemma":[0.5960225,0.0002238947,0.3890138,0.0003443379,0.00001543277,0.01222255,0.0003851391,0.00008751943,0.001684743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08117845,"threshold_uncertainty_score":0.4293178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1876631728588357,"score_gpt":0.4936324195402376,"score_spread":0.3059692466814019,"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."}}