{"id":"W3111594579","doi":"10.23889/ijpds.v5i5.1471","title":"Evaluation of The Manitoba Healthy Baby Prenatal Benefit: Is It Improving Birth and Early Childhood Outcomes for Metis Families?","year":2020,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Breastfeeding Practices and Influences","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Health; University of Winnipeg; University of Manitoba","funders":"","keywords":"Metis; Medicine; Demography; Birth weight; Gestational age; Breastfeeding; Pediatrics; Low birth weight; Prenatal care; Relative risk; Pregnancy; Population; Environmental health; Confidence interval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002095139,0.00008096267,0.0001310293,0.0001147325,0.0002889147,0.0001822496,0.0006692545,0.0000276461,0.00002029449],"category_scores_gemma":[0.002975968,0.00005416677,0.00005678835,0.0001723934,0.00009194504,0.002037378,0.0002069318,0.0001144134,6.121194e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007956068,"about_ca_system_score_gemma":0.0002888762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004250103,"about_ca_topic_score_gemma":0.00006509803,"domain_scores_codex":[0.9977862,0.00002048633,0.0003969251,0.0002662988,0.001399168,0.0001309263],"domain_scores_gemma":[0.9978663,0.0001107084,0.0005156928,0.0001872848,0.001213419,0.0001066017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002875761,0.00008718373,0.5556397,0.00006690373,0.0001538301,3.673671e-7,0.001670341,0.0002068556,0.0009426348,0.001358892,0.0005166419,0.4390691],"study_design_scores_gemma":[0.001305655,0.0002080105,0.9522916,0.00008773326,0.0001256708,0.00005805638,0.0002941701,0.04377752,0.0002317303,0.0005157763,0.001042254,0.00006183825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9506211,0.0001062949,0.001275984,0.04602145,0.0008543084,0.0005767316,0.000503751,0.000006869912,0.00003349908],"genre_scores_gemma":[0.9940779,0.00003941237,0.004031075,0.001514427,0.0002752065,0.000009004548,0.00003436249,0.000006487499,0.00001215498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4390072,"threshold_uncertainty_score":0.3562726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1160053827463582,"score_gpt":0.4042412168319461,"score_spread":0.2882358340855879,"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."}}