{"id":"W2790428286","doi":"10.1080/17449626.2018.1425217","title":"Climate justice after Paris: a normative framework","year":2017,"lang":"en","type":"article","venue":"Journal of Global Ethics","topic":"Climate Change and Geoengineering","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Normative; Climate Finance; Climate change; Economic Justice; Interpretation (philosophy); Climate justice; Political economy of climate change; Economics; Political science; Law and economics; Environmental ethics; Sociology; Developing country; Law; Computer science; Economic growth; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.02121693,0.001276702,0.0008126055,0.003146138,0.01614888,0.01907216,0.003076665,0.02025505,0.007775546],"category_scores_gemma":[0.01739715,0.0004961591,0.001023442,0.001697247,0.03777489,0.01440282,0.008920662,0.01296547,0.0009699977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02773467,"about_ca_system_score_gemma":0.01730984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03017155,"about_ca_topic_score_gemma":0.02139153,"domain_scores_codex":[0.9764182,0.01276184,0.0005518659,0.002475767,0.004112699,0.003679632],"domain_scores_gemma":[0.9930264,0.003921031,0.0004494462,0.0004453746,0.001703829,0.0004539718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001358655,0.000002506749,0.00001493488,0.00000289699,9.528565e-7,0.00002314953,0.0003001957,0.0002352395,0.000005136108,0.998095,0.0008260123,0.0004926494],"study_design_scores_gemma":[0.00001453499,0.00001449593,0.0001267125,0.0001003534,0.000004966258,0.0000441592,0.0011466,0.0009989993,0.0000976181,0.9070081,0.09041043,0.00003303812],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01387636,0.003922179,0.03938979,0.1303641,0.001656901,0.0001277866,0.000126969,0.0001368875,0.810399],"genre_scores_gemma":[0.8531857,0.002386302,0.01698807,0.04357146,0.002152825,0.0007021899,0.0001295905,0.0001695306,0.08071431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03017155,"threshold_uncertainty_score":0.2012301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03662940717650993,"score_gpt":0.3438929790129652,"score_spread":0.3072635718364553,"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."}}