{"id":"W3091255781","doi":"10.1542/peds.2020-016915f","title":"Helping Babies Survive: Lessons Learned From Global Trainers","year":2020,"lang":"en","type":"article","venue":"PEDIATRICS","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster Children's Hospital","funders":"","keywords":"Medicine; Context (archaeology); Medical education; Download; Health care; Nursing; World Wide Web; Computer science","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":[0.01827683,0.0006774082,0.0005361422,0.0009639431,0.004101103,0.004420598,0.00204745,0.002344343,0.004155535],"category_scores_gemma":[0.02437592,0.0004538606,0.0004760732,0.0008083077,0.005785285,0.007127156,0.009671956,0.005187409,0.0006688409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002530271,"about_ca_system_score_gemma":0.007105243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003681253,"about_ca_topic_score_gemma":0.007878641,"domain_scores_codex":[0.9910013,0.005946855,0.000201371,0.000507856,0.0007472779,0.001595212],"domain_scores_gemma":[0.9839969,0.008583996,0.0008079772,0.0007292438,0.001543915,0.004337982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009958624,0.0004645538,0.02329331,0.002011169,0.00005101733,0.002072058,0.6921011,0.0004619876,0.001267146,0.006720425,0.03973802,0.2317196],"study_design_scores_gemma":[0.00004568604,0.000895044,0.01676712,0.004135442,0.00005064842,0.0009126802,0.7836088,0.0003100412,0.0009285929,0.005371074,0.1868779,0.00009700445],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7589134,0.01057109,0.007014083,0.1606662,0.002529937,0.0005218873,0.0002267041,0.0003099585,0.05924664],"genre_scores_gemma":[0.9473604,0.010578,0.007945456,0.02366151,0.0003231598,0.0003780381,0.000181299,0.0001758676,0.00939632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01827683,"threshold_uncertainty_score":0.09665823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07305564255987552,"score_gpt":0.3332225756555944,"score_spread":0.2601669330957189,"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."}}