{"id":"W3040361310","doi":"10.1080/09603123.2020.1777947","title":"Community-level environmental characteristics predictive of childhood stunting in Bangladesh - a study based on the repeated cross-sectional surveys","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Health Research","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Environmental health; Cross-sectional study; Environmental change; Geography; Climate change; Medicine; Ecology; Biology","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":[0.0008162911,0.0002597482,0.000359121,0.000510597,0.0004287734,0.0004992147,0.0002465375,0.000324784,0.0009639909],"category_scores_gemma":[0.002398702,0.000345597,0.0004490592,0.001297702,0.0002561143,0.0003913539,0.0005127276,0.000454778,0.0002327077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004406288,"about_ca_system_score_gemma":0.0004539839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03246383,"about_ca_topic_score_gemma":0.04866112,"domain_scores_codex":[0.9993481,0.0002414768,0.00008683363,0.0001113433,0.0001050998,0.0001071105],"domain_scores_gemma":[0.9984494,0.0002681659,0.0005984979,0.0001992823,0.0002076831,0.0002769207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002043033,0.00002447411,0.999056,0.000009016352,0.00003622028,0.00002867933,0.0001941902,0.00001206063,0.0001193981,0.000007434708,0.00002123003,0.000470817],"study_design_scores_gemma":[0.000001512226,0.00006989727,0.9992673,0.000008970148,0.00001656559,0.00005543886,0.0004358024,0.00003711908,0.00002537307,0.000006152288,0.00007318244,0.000002817572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992417,0.00009784492,0.00004831035,0.00001917806,0.00000127509,0.00001010436,0.0003354753,0.000001036859,0.000244979],"genre_scores_gemma":[0.9995252,0.00008599074,0.00006343402,0.00001090155,0.000001341965,0.00001515553,0.0002210912,0.000001024987,0.00007595353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03246383,"threshold_uncertainty_score":0.06454974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1638230594394881,"score_gpt":0.4140006740121118,"score_spread":0.2501776145726237,"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."}}