{"id":"W2750647370","doi":"10.12688/f1000research.12269.3","title":"Continuous training and certification in neonatal resuscitation in remote areas using a multi-platform information and communication technology intervention, compared to standard training: A randomized cluster trial study protocol","year":2018,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Infant Development and Preterm Care","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Grand Challenges Canada","keywords":"Certification; Neonatal resuscitation; Medicine; Health care; Information and Communications Technology; Medical emergency; Nursing; Resuscitation; Emergency medicine; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010323,0.003176411,0.007006359,0.001152632,0.001624198,0.001956286,0.002588475,0.004052457,0.02065687],"category_scores_gemma":[0.01062544,0.001474191,0.003670546,0.001169392,0.002173289,0.002111327,0.001432524,0.004018671,0.002219364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002420964,"about_ca_system_score_gemma":0.006400187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003096276,"about_ca_topic_score_gemma":0.003589384,"domain_scores_codex":[0.9928589,0.004055838,0.0007585853,0.000902833,0.0005983859,0.0008254455],"domain_scores_gemma":[0.9944009,0.001993019,0.001122317,0.0005354747,0.0008836745,0.001064513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9573213,0.02858821,0.0005069959,0.002930652,0.001473643,0.00002794921,0.000108969,0.0004123147,0.0005762164,0.0002771599,0.0009840203,0.00679261],"study_design_scores_gemma":[0.932198,0.06349297,0.001227205,0.0001993765,0.0007860163,0.000007076927,0.00005998859,0.0006354442,0.000259527,0.0002915373,0.0008197812,0.00002316541],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.2616923,0.001997785,0.003166819,0.0009697255,0.001930887,0.7253271,0.002163269,0.0002781851,0.002473939],"genre_scores_gemma":[0.157957,0.0006956566,0.008820524,0.0008158974,0.0003669214,0.8284091,0.0004184069,0.00002037143,0.002496225],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.02065687,"threshold_uncertainty_score":0.06910414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1397419828640721,"score_gpt":0.4307803288002677,"score_spread":0.2910383459361956,"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."}}