{"id":"W4225497344","doi":"","title":"State of South Dakota's Child: 2021.","year":2022,"lang":"en","type":"article","venue":"PubMed","topic":"Maternal and Neonatal Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demography; Infant mortality; Population; Medicine; Quarter (Canadian coin); Homicide; Mortality rate; Birth rate; Poison control; Geography; Injury prevention; Environmental health; Research methodology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003252119,0.0005048987,0.000170419,0.0007275996,0.001439031,0.001218794,0.0007513301,0.0006813802,0.07137525],"category_scores_gemma":[0.0007548119,0.0002413791,0.0003144892,0.0008960514,0.0002162135,0.0006455526,0.001474451,0.001137126,0.02148183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003745145,"about_ca_system_score_gemma":0.01049987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3518854,"about_ca_topic_score_gemma":0.5280393,"domain_scores_codex":[0.9998183,0.0000159329,0.00001540655,0.00002692791,0.00005241673,0.00007104337],"domain_scores_gemma":[0.9994507,0.000017141,0.0000513815,0.00001345991,0.0002296211,0.0002377353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000057178,0.00004509459,0.02087246,0.0004449633,0.00002644225,0.0001683832,0.0002058189,0.0001127815,0.0004947057,0.002121655,0.9043031,0.07114731],"study_design_scores_gemma":[0.00003601473,0.00002176604,0.07478459,0.0004220848,0.00002042399,0.000138973,0.0005857783,0.0001803099,0.00018105,0.0002882584,0.9233226,0.00001809249],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03417556,0.008610539,0.001012758,0.034284,0.004069446,0.0009068871,0.615867,0.001225709,0.2998481],"genre_scores_gemma":[0.1530767,0.01305639,0.005595875,0.0195196,0.0005467636,0.003403801,0.3391921,0.0004287651,0.4651801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3518854,"threshold_uncertainty_score":0.6996744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04928645431403304,"score_gpt":0.336008302456321,"score_spread":0.2867218481422879,"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."}}