{"id":"W2541889581","doi":"10.1021/acs.est.6b04434","title":"Occupational Health Impacts Due to Exposure to Organic Chemicals over an Entire Product Life Cycle","year":2016,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Liberian dollar; Supply chain; Product (mathematics); Production (economics); Life-cycle assessment; Commodity; Business; Economic impact analysis; Product lifecycle; Human health; Environmental economics; Economics; Environmental health; New product development; Marketing; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009211523,0.000879176,0.0004392988,0.00173383,0.0005968514,0.001424285,0.0005701747,0.0006363125,0.003478049],"category_scores_gemma":[0.001454973,0.0003388439,0.001738062,0.001506736,0.0004768555,0.0008145017,0.001644286,0.0005162233,0.0002058111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002017519,"about_ca_system_score_gemma":0.001989011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03054236,"about_ca_topic_score_gemma":0.02996743,"domain_scores_codex":[0.9992164,0.0002237429,0.00004273348,0.0001139464,0.0002785792,0.0001244601],"domain_scores_gemma":[0.9990827,0.0005042948,0.0001721428,0.00006853815,0.0001342403,0.00003817867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005057612,0.0005366983,0.2185107,0.0004222445,0.0007736928,0.0007961389,0.0003444099,0.6823891,0.01126401,0.00906355,0.001054677,0.07433894],"study_design_scores_gemma":[0.0001062847,0.003244322,0.3176426,0.0002974026,0.001957412,0.001144559,0.002752926,0.5579127,0.03287051,0.05286242,0.02895173,0.0002571544],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9010215,0.001535451,0.063316,0.0006026404,0.000116131,0.0003256259,0.004374656,0.0002172767,0.02849071],"genre_scores_gemma":[0.9890098,0.001146042,0.005964568,0.00007316421,0.00001977691,0.00007951827,0.0006181631,0.00001681402,0.003072126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03054236,"threshold_uncertainty_score":0.06072921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005578913927000528,"score_gpt":0.2600816157459702,"score_spread":0.2545027018189697,"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."}}