{"id":"W2416033384","doi":"","title":"Public health extras: Health effects of pipeline, iron deficiency in infants","year":2014,"lang":"en","type":"article","venue":"˜The œNation'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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003251754,0.0002078961,0.0003515753,0.0001266443,0.0003959134,0.00002344898,0.0003931942,0.00007596652,0.000161323],"category_scores_gemma":[0.0001283855,0.0001659092,0.00005101933,0.0005701661,0.0001930175,0.0002886758,0.0001164427,0.0002590576,0.0001296056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008947889,"about_ca_system_score_gemma":0.0002033796,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006983436,"about_ca_topic_score_gemma":0.00827525,"domain_scores_codex":[0.996662,0.00075756,0.0006839453,0.0003965491,0.0006365586,0.0008633772],"domain_scores_gemma":[0.9982668,0.0002621615,0.0005352337,0.0005033672,0.000006357175,0.0004260973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004523155,0.002035814,0.1104392,0.001106117,0.000008319877,0.00000224143,0.0111874,0.0466479,0.0002573327,0.008784402,0.02201925,0.7974668],"study_design_scores_gemma":[0.001257352,0.0008392699,0.9589441,0.0001134186,0.000002416022,0.000008453522,0.0001518793,0.003791538,0.00004657012,0.001527318,0.03303131,0.000286374],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8576885,0.002597899,0.02991784,0.09414139,0.001038766,0.002198248,0.00002117258,0.0001819114,0.01221425],"genre_scores_gemma":[0.9881486,0.0006658965,0.000597516,0.01018158,0.00005836742,0.00002184911,0.00002870236,0.0000239546,0.0002735693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8485049,"threshold_uncertainty_score":0.9996291,"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."}}