{"id":"W4251930362","doi":"10.32920/ryerson.14646564","title":"Environmental justice and project development : the Sri Lankan experience","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Injustice; Variety (cybernetics); Environmental justice; Sri lanka; Environmental planning; Environmental resource management; Economic Justice; Value (mathematics); Environmental impact assessment; Political science; Geography; Computer science; Environmental science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004189491,0.000179921,0.0001754103,0.00002607378,0.001244351,0.0002388646,0.0003133865,0.0002088403,0.0006148058],"category_scores_gemma":[0.00004284629,0.0001380097,0.00003767453,0.00004071648,0.0006408719,0.0001132257,0.0008017805,0.0004161259,0.00002295582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002311577,"about_ca_system_score_gemma":0.0004618487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002330707,"about_ca_topic_score_gemma":0.004503958,"domain_scores_codex":[0.9982676,0.0001797695,0.0002396701,0.0004065431,0.0005309884,0.0003754084],"domain_scores_gemma":[0.9994298,0.0001314644,0.00008854375,0.0002337211,0.000006280528,0.0001102127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001201998,0.0001769977,0.01765303,0.001200763,0.00004681284,0.00002620121,0.9594174,0.00001121958,0.00005314887,0.006611491,0.001213089,0.01357782],"study_design_scores_gemma":[0.00007775737,0.000008761816,0.03615763,0.0001369631,0.00009539638,0.000002227338,0.8056572,0.000008249389,0.0001012408,0.00003149957,0.1574533,0.0002696902],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9064978,0.005697791,0.00006012022,0.001709394,0.0006804965,0.0008061358,0.00001135007,0.0000612308,0.08447573],"genre_scores_gemma":[0.9739208,0.01806539,0.002164521,0.00209749,0.000273368,0.0002430517,0.00003035404,0.000007409094,0.003197663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1562403,"threshold_uncertainty_score":0.9570667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05111759072296258,"score_gpt":0.3405855305820274,"score_spread":0.2894679398590648,"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."}}