{"id":"W4416176298","doi":"10.17148/iarjset.2025.121118","title":"Maintaining Competence in Emergencies: A Comparative Analysis of Midwifery in Ontario and Ghana","year":2025,"lang":"","type":"article","venue":"IARJSET","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competence (human resources); Qualitative research; Nurse-Midwives; MEDLINE","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054771,0.0002379293,0.001305685,0.001059088,0.0000506795,0.00001193635,0.0001524272,0.0001233713,0.0006721605],"category_scores_gemma":[0.00005615662,0.0002272197,0.0001049798,0.002339741,0.0001838333,0.00007222763,0.0001344571,0.0005149398,0.000006316275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00048277,"about_ca_system_score_gemma":0.0005848774,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2932395,"about_ca_topic_score_gemma":0.8450235,"domain_scores_codex":[0.9976941,0.0001729346,0.001000536,0.0004248764,0.0002466041,0.0004609538],"domain_scores_gemma":[0.9991401,0.0001681458,0.0001881951,0.0002565969,0.0001099124,0.000137012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004593076,0.000281179,0.9782677,0.0002091556,0.0006816651,0.00007637438,0.0149017,0.0004929843,0.00007097208,0.004179219,0.0001509437,0.0002287568],"study_design_scores_gemma":[0.001455112,0.0002091947,0.97575,0.001361137,0.0007338775,0.000002443314,0.01445483,0.004035359,0.00005730015,0.0005325106,0.001259194,0.0001490381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844561,0.002805052,0.00003191486,0.00106596,0.0002081651,0.0003514781,0.00006039378,0.000005588113,0.01101538],"genre_scores_gemma":[0.9976935,0.0006154716,0.0001306321,0.0009971141,0.00001453499,0.000008211099,0.00003236881,0.000003310927,0.000504868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.551784,"threshold_uncertainty_score":0.9265749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02937433328572974,"score_gpt":0.3247557782609009,"score_spread":0.2953814449751712,"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."}}