{"id":"W2416033384","doi":"","title":"Public health extras: Health effects of pipeline, iron deficiency in infants","year":2014,"lang":"en","type":"article","venue":"The Nation's health","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Public health; Environmental health; Medicine; Engineering; Nursing","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":[0.0007356271,0.0003092147,0.0001567589,0.0007534802,0.0008085769,0.0005336438,0.0003018884,0.001429782,0.008370647],"category_scores_gemma":[0.003116992,0.0001164665,0.0004348309,0.0004136318,0.0002429119,0.0003076061,0.0006889786,0.0009533573,0.0005160132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010739,"about_ca_system_score_gemma":0.001850061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03939245,"about_ca_topic_score_gemma":0.09212194,"domain_scores_codex":[0.9995881,0.0002148642,0.00001887561,0.00002032533,0.0000879618,0.00006997681],"domain_scores_gemma":[0.9986181,0.0005667074,0.0001804523,0.0000538678,0.0002453256,0.0003354344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001619231,0.001585977,0.3243955,0.0007828767,0.0002784335,0.004105074,0.0007895945,0.0006269333,0.001437688,0.002503436,0.4045104,0.2573649],"study_design_scores_gemma":[0.0003495564,0.004040157,0.841091,0.001468415,0.0006358112,0.003852025,0.002436796,0.0008332849,0.002286445,0.00265254,0.1402956,0.00005852903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"editorial","genre_scores_codex":[0.4806015,0.05352076,0.0005427847,0.3338152,0.003845132,0.0002719453,0.02088305,0.00048132,0.1060383],"genre_scores_gemma":[0.9061779,0.02927886,0.00143094,0.02830083,0.002702911,0.0001312817,0.003627438,0.00002944895,0.02832044],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.03939245,"threshold_uncertainty_score":0.07832628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02623033859535599,"score_gpt":0.2565476550878695,"score_spread":0.2303173164925136,"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."}}