{"id":"W3126252653","doi":"10.2139/ssrn.3539517","title":"How Environmental Issues Affect Human Rights: A Case Study of Air Pollution in Canada","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental law and policy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Affect (linguistics); Human rights; Air pollution; Environmental planning; Environmentalism; Pollution; Environmental resource management; Environmental protection; Environmental science; Political science; Geography; Ecology; Law; Psychology; Politics; Biology","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":[0.0007149391,0.0001073858,0.0001719953,0.00006663725,0.0004338095,0.0000188767,0.0001736432,0.00004244572,0.00008395602],"category_scores_gemma":[0.000004000312,0.00009670011,0.00004439557,0.0000940243,0.0000632009,0.0002105661,0.00002542215,0.0005872637,0.000005775084],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004765354,"about_ca_system_score_gemma":0.0008522478,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9847641,"about_ca_topic_score_gemma":0.999293,"domain_scores_codex":[0.9978917,0.0003178786,0.0001758051,0.0001414749,0.0003904069,0.00108276],"domain_scores_gemma":[0.9996554,0.00002171048,0.0001285638,0.0001143584,0.000002961127,0.00007696434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006757586,0.00128036,0.8820633,0.000012011,0.0002649183,0.0006813214,0.02098922,0.0002712951,0.001681385,0.08912884,0.0001889246,0.003370882],"study_design_scores_gemma":[0.005225492,0.003498953,0.08492614,0.00004962019,0.0000999128,0.001706498,0.8475166,0.0000113487,0.0005765405,0.01929137,0.03628364,0.0008139145],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975926,0.0004414998,0.000001195419,0.0006578005,0.00008637782,0.0002976632,0.000004965897,0.000003744079,0.0009141808],"genre_scores_gemma":[0.9971306,0.0001312631,0.000001875052,0.00003520057,0.0001280117,0.000003129462,0.000001400178,0.000008352416,0.002560167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8265274,"threshold_uncertainty_score":0.9990551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005925355240846885,"score_gpt":0.2572711476675482,"score_spread":0.2513457924267013,"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."}}