{"id":"W4322728255","doi":"10.1542/peds.142.1ma6.526","title":"Implementing Helping Babies Breathe (HBB) in Remote Fishing Villages, Cambodia","year":2018,"lang":"en","type":"article","venue":"PEDIATRICS","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medicine; Fishing; Fishery; Medical emergency","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":[0.001480776,0.000255731,0.0001516236,0.0001746842,0.002950275,0.000762977,0.000993317,0.0007803756,0.004302508],"category_scores_gemma":[0.003267327,0.0002377527,0.0001591855,0.000199491,0.0009006049,0.0006606184,0.003229337,0.001457776,0.0002078375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002630901,"about_ca_system_score_gemma":0.01416086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05615664,"about_ca_topic_score_gemma":0.1476857,"domain_scores_codex":[0.9993268,0.0002402666,0.00002523014,0.00003370986,0.00004755907,0.0003264312],"domain_scores_gemma":[0.9983164,0.0002021312,0.0001315582,0.0000305267,0.000128016,0.001191426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004074263,0.001686223,0.4651804,0.001905205,0.00005502285,0.01812532,0.1783637,0.0005481678,0.01545121,0.003711072,0.0163329,0.2982334],"study_design_scores_gemma":[0.0001334183,0.002252259,0.5956386,0.002732865,0.00007007763,0.001970064,0.3600634,0.0004646032,0.002662582,0.0008976234,0.03306834,0.00004613531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976228,0.0006328041,0.0003154098,0.01130589,0.00009405443,0.0003382934,0.00005620361,0.00003238367,0.01099706],"genre_scores_gemma":[0.9901957,0.001081812,0.00216879,0.002546538,0.00001960093,0.0003883092,0.00004349219,0.000007682416,0.003548085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05615664,"threshold_uncertainty_score":0.1116595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755687093191492,"score_gpt":0.2834776580955638,"score_spread":0.2659207871636489,"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."}}