{"id":"W2606604582","doi":"10.1097/jom.0000000000000986","title":"Green Collar Workers","year":2017,"lang":"en","type":"article","venue":"Journal of Occupational and Environmental Medicine","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fleming College","funders":"National Institute for Occupational Safety and Health","keywords":"Collar; Business","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002927855,0.0001760938,0.00009719416,0.0005295383,0.0005874187,0.0002976325,0.0001938825,0.0002025008,0.008177418],"category_scores_gemma":[0.0005899109,0.00005392812,0.000154761,0.0006847813,0.0001753036,0.0002486717,0.0004344965,0.0001641094,0.001197479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002785457,"about_ca_system_score_gemma":0.0005808023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0105522,"about_ca_topic_score_gemma":0.0238882,"domain_scores_codex":[0.9997675,0.00002754701,0.00001438108,0.00004903414,0.00005532524,0.00008627282],"domain_scores_gemma":[0.9995945,0.00003638972,0.0002260469,0.00002295677,0.00004828023,0.00007182567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006037727,0.00009112532,0.9575371,0.0001086951,0.00002466844,0.0003789704,0.002136176,0.0001056953,0.0009297025,0.0006918979,0.008954925,0.02898064],"study_design_scores_gemma":[0.000008035818,0.00008519291,0.9752079,0.0001090632,0.00001148578,0.0003765879,0.003788239,0.00009623188,0.0001846306,0.0004298048,0.01969439,0.000008437857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862605,0.0005264519,0.0004540537,0.0006187111,0.00005693966,0.0000450578,0.004451408,0.00001597819,0.007570987],"genre_scores_gemma":[0.9883003,0.0005871284,0.0006054072,0.0008000595,0.00004440405,0.00007991539,0.00189231,0.000006537446,0.007683967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0105522,"threshold_uncertainty_score":0.02735621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0501205861481726,"score_gpt":0.3590422596440975,"score_spread":0.3089216734959249,"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."}}