{"id":"W1985651993","doi":"10.1080/10807039.2014.974498","title":"Estimation of Sediment Ingestion Rates Based on Hand-to-Mouth Contact and Incidental Surface Water Ingestion","year":2014,"lang":"en","type":"article","venue":"Human and Ecological Risk Assessment An International Journal","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Campbell Scientific (Canada)","funders":"Health Canada; Texas Commission on Environmental Quality","keywords":"Ingestion; Sediment; Environmental science; Environmental chemistry; Hydrology (agriculture); Geology; Biology; Chemistry; Geomorphology","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":[0.001263687,0.0006170992,0.0005823011,0.002892908,0.0003079062,0.0007599366,0.0005781986,0.0003762853,0.001290595],"category_scores_gemma":[0.00437226,0.0002606346,0.0007077141,0.001241608,0.0004277913,0.0006155798,0.0009705982,0.0003456126,0.0003974135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006899212,"about_ca_system_score_gemma":0.0005725482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01530104,"about_ca_topic_score_gemma":0.02098468,"domain_scores_codex":[0.9982126,0.0002655447,0.0001904643,0.0002712897,0.0009543472,0.0001057929],"domain_scores_gemma":[0.9977202,0.0007013821,0.0007702709,0.0001946259,0.0005314299,0.00008208429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006579217,0.0001808813,0.8452034,0.0006384917,0.0002346173,0.0003514167,0.001145663,0.006523002,0.03526403,0.0008949523,0.0006372957,0.1082684],"study_design_scores_gemma":[0.00001960276,0.001457115,0.8983555,0.0001547764,0.0002465604,0.001173565,0.0009901602,0.04051963,0.05202422,0.001142927,0.003824486,0.00009135542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9231358,0.001088982,0.06534234,0.00003970096,0.00002399775,0.0006452001,0.00184116,0.0002498788,0.007632877],"genre_scores_gemma":[0.9652531,0.001046807,0.02891511,0.00002535536,0.00001236745,0.0003289643,0.001464888,0.00005166099,0.002901778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01530104,"threshold_uncertainty_score":0.030424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834564464802857,"score_gpt":0.2983776951893118,"score_spread":0.2800320505412832,"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."}}