{"id":"W2917061599","doi":"10.1371/journal.pone.0212290","title":"Multi-behavioral obesogenic phenotypes among school-aged boys and girls along the birth weight continuum","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Birth, Development, and Health","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; University of Toronto; Douglas Mental Health University Institute; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Anthropometry; Screen time; Demography; Obesity; Body mass index; Ethnic group; Birth weight; Population; Medicine; Psychology; Developmental psychology; Endocrinology; Internal medicine; Pregnancy; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000519774,0.0003809615,0.0005099961,0.001546618,0.0007725979,0.0008891743,0.0005582849,0.0003961478,0.001248269],"category_scores_gemma":[0.001404101,0.0003774614,0.000532317,0.00129068,0.0004966512,0.0003843688,0.000896293,0.0006299675,0.0002338231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006672464,"about_ca_system_score_gemma":0.0006222184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07950334,"about_ca_topic_score_gemma":0.08815414,"domain_scores_codex":[0.9995421,0.00007034266,0.00003495033,0.0001112884,0.0001254946,0.0001158963],"domain_scores_gemma":[0.9991443,0.00008318201,0.0003691998,0.00005820313,0.00009677639,0.0002482238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003625757,0.00002095299,0.9987845,0.000002913042,0.00001488665,0.00006775555,0.0001508237,0.00001975142,0.0001871037,0.00001407159,0.00003190328,0.0006690797],"study_design_scores_gemma":[7.166407e-7,0.00001325684,0.9997635,0.000001484018,0.00000204459,0.00003583827,0.000130591,0.00002058714,0.00001003863,0.000004461053,0.00001687931,5.349382e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999383,0.00008804597,0.00005794816,0.00002568812,0.000002161221,0.000006248335,0.0002308421,0.000005107705,0.0002009912],"genre_scores_gemma":[0.9991224,0.00007908911,0.0001124663,0.00001536794,0.000002649783,0.00001355038,0.0004765323,0.000003477704,0.0001745314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07950334,"threshold_uncertainty_score":0.1580812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04146881149770154,"score_gpt":0.2672217671972037,"score_spread":0.2257529556995022,"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."}}