{"id":"W4293874524","doi":"10.20944/preprints202208.0256.v1","title":"Lead Exposure in Infancy and Subsequent Childhood Growth","year":2022,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"NanoQuébec (Canada); Université Laval; Institut National de Santé Publique du Québec","funders":"","keywords":"Quartile; Medicine; Confounding; Underweight; Wasting; Cohort; Body mass index; Anthropometry; Standard score; Demography; Cohort study; Pediatrics; Overweight; Internal medicine; Confidence interval","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":[0.0003942353,0.000293162,0.0001536708,0.0004756618,0.0002219647,0.0004335052,0.0002034155,0.0002542281,0.001442655],"category_scores_gemma":[0.0009608585,0.0001640628,0.0001882196,0.0004899501,0.0002344602,0.0001887994,0.0004176988,0.0003302,0.0002550631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004663693,"about_ca_system_score_gemma":0.0003751602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03094755,"about_ca_topic_score_gemma":0.02899541,"domain_scores_codex":[0.9997622,0.00006283923,0.0000143439,0.000047307,0.00005098762,0.00006229155],"domain_scores_gemma":[0.9994529,0.00009219022,0.0002723786,0.00002070003,0.00007703663,0.00008471517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006271652,0.00001664343,0.9968427,0.00001564809,0.00001839045,0.00009049958,0.0001322545,0.00005674099,0.0003309794,0.00002360318,0.00008414333,0.002325673],"study_design_scores_gemma":[7.008997e-7,0.00002800073,0.9994293,0.000008379545,0.000005874721,0.00007797648,0.0001192391,0.00006954513,0.00007102975,0.00001647558,0.0001728083,7.774436e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976611,0.001318642,0.00006185839,0.0001039772,0.000006873993,0.000001620154,0.0001946307,0.000006100955,0.0006450327],"genre_scores_gemma":[0.9983732,0.0008742184,0.00006005599,0.00001572816,0.000005523251,0.000003033965,0.0001827975,0.000002168529,0.0004833605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03094755,"threshold_uncertainty_score":0.06153488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06145971793460924,"score_gpt":0.3225670916383612,"score_spread":0.2611073737037519,"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."}}