{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006985397,0.0002761788,0.001029344,0.002237045,0.0001377096,0.0002281397,0.0002447091,0.0003857138,0.0000153888],"category_scores_gemma":[0.00241043,0.0002608879,0.00006773495,0.0005622027,0.000286186,0.0003784253,0.0006231986,0.000958261,0.000001499153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004057722,"about_ca_system_score_gemma":0.0004641608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005482282,"about_ca_topic_score_gemma":0.001300748,"domain_scores_codex":[0.9964042,0.0007138707,0.001490061,0.0004470594,0.0005778269,0.0003669303],"domain_scores_gemma":[0.9979613,0.0003121779,0.0004198295,0.0004950949,0.0006993889,0.0001121461],"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":[0.6522948,0.0001069068,0.01049084,0.0007914147,0.0001317414,0.00001551076,0.2327586,0.00003658611,0.00005158016,0.00003257258,0.00003521944,0.1032543],"study_design_scores_gemma":[0.8477209,0.001255939,0.01389393,0.00484842,0.00008476924,0.00004044467,0.04458028,0.08439916,0.00009811209,0.001705925,0.0008327796,0.0005393681],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8294716,0.00003275132,0.002724096,0.0005838665,0.00008041471,0.1668678,0.00003620342,0.00006092861,0.0001422968],"genre_scores_gemma":[0.9428825,0.00001112395,0.01922202,0.00003137262,0.00004530691,0.0371332,0.0006282472,0.00002803313,0.00001823862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1954261,"threshold_uncertainty_score":0.9999843,"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."}}