{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002607118,0.0003661891,0.0004656154,0.001557403,0.03889131,0.008064635,0.002554863,0.007514919,0.00558835],"category_scores_gemma":[0.006363435,0.0003272503,0.0006003822,0.003712883,0.01419531,0.002486006,0.004519765,0.005354329,0.0001969135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08776685,"about_ca_system_score_gemma":0.1278691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9920386,"about_ca_topic_score_gemma":0.997347,"domain_scores_codex":[0.9946213,0.001029759,0.00006204622,0.0002592197,0.0008368408,0.003190925],"domain_scores_gemma":[0.9954836,0.002102544,0.0002997034,0.0001308699,0.001047012,0.0009361825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000253707,0.000808497,0.1203213,0.0003031365,0.0001717441,0.02258519,0.3863419,0.007258952,0.002335716,0.3762567,0.02937367,0.05398946],"study_design_scores_gemma":[0.00007189024,0.00009244413,0.05381712,0.0003512708,0.0001605616,0.001365585,0.789405,0.003407298,0.001072724,0.0159283,0.1341982,0.000129638],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8554447,0.001089042,0.0007232787,0.01916213,0.00006293916,0.00008698842,0.0001148367,0.000012496,0.1233036],"genre_scores_gemma":[0.9873197,0.0005837801,0.000288125,0.001087701,0.000008485392,0.0000118666,0.00001888167,0.000008757913,0.01067271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08776685,"threshold_uncertainty_score":0.636796,"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."}}