{"id":"W1978354185","doi":"10.1002/ieam.1308","title":"Evaluating the relevance of seasonal differentiation of human health intake fractions in life cycle assessment","year":2012,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Context (archaeology); Environmental science; Bioaccumulation; Life-cycle assessment; Food chain; Pollutant; Human health; Population; Atmospheric sciences; Mathematics; Geography; Ecology; Biology; Physics; Demography; Production (economics); Environmental health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003079116,0.0004721921,0.0003091183,0.0008559211,0.0003983236,0.0006707701,0.0006438948,0.000404181,0.0005881599],"category_scores_gemma":[0.006485998,0.0002292591,0.0007889189,0.001063808,0.0002883655,0.0005374733,0.0005137241,0.0002315802,0.00005961363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003765003,"about_ca_system_score_gemma":0.003987172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3922439,"about_ca_topic_score_gemma":0.4183542,"domain_scores_codex":[0.9992312,0.0002847818,0.00003521,0.0001385206,0.0002073476,0.0001028519],"domain_scores_gemma":[0.9972965,0.001438153,0.0002798804,0.0002101682,0.0006778336,0.00009750472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006147196,0.0000902372,0.3006116,0.0001320179,0.0003320156,0.0001070533,0.0002626864,0.6448435,0.005743385,0.001649814,0.0005156774,0.04509739],"study_design_scores_gemma":[0.00002641092,0.0005203867,0.2651389,0.00004042537,0.0002765487,0.00008408385,0.0004637785,0.7227333,0.005750143,0.001706505,0.003196316,0.00006318079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9553999,0.0004831525,0.03728708,0.0001551057,0.00002016675,0.0002873727,0.001955535,0.0001247417,0.00428704],"genre_scores_gemma":[0.9893368,0.0001275889,0.009195423,0.00002755806,0.000004221412,0.00005122547,0.0008045218,0.00001760352,0.0004349525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3922439,"threshold_uncertainty_score":0.7799215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02485479563458041,"score_gpt":0.3554458757659848,"score_spread":0.3305910801314044,"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."}}