{"id":"W2888414254","doi":"10.1145/3236677","title":"Championing environmental and social justice","year":2018,"lang":"en","type":"article","venue":"interactions","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Engineering and Physical Sciences Research Council","keywords":"Diversity (politics); Sustainability; Social justice; Sociology; Environmental justice; Engineering ethics; Economic Justice; Political science; Engineering; Social science; Ecology; Law; Anthropology","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":[0.01577234,0.0006236337,0.0006154716,0.0008462089,0.005198953,0.01358115,0.001854893,0.01379446,0.00674814],"category_scores_gemma":[0.02493194,0.000277478,0.0005686019,0.0006836505,0.02327139,0.01174437,0.008642818,0.0191991,0.001584416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003159186,"about_ca_system_score_gemma":0.006451262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001326612,"about_ca_topic_score_gemma":0.003858436,"domain_scores_codex":[0.9855093,0.007845402,0.0005418928,0.001287157,0.00394003,0.0008762036],"domain_scores_gemma":[0.9738473,0.01854455,0.001039256,0.0009928268,0.00264423,0.002931799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003043835,0.00004864192,0.0004422809,0.0004243217,0.00002192816,0.0003048271,0.01126163,0.0002281858,0.0005584559,0.4331436,0.4699683,0.08356734],"study_design_scores_gemma":[0.00001212282,0.00003348204,0.0002212577,0.000367207,0.00001017404,0.0002346255,0.004501215,0.0002514254,0.0005315861,0.1113486,0.8824551,0.00003326881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001455494,0.01393062,0.008150968,0.8643865,0.08246737,0.00002724393,0.00001276534,0.0001501579,0.02941896],"genre_scores_gemma":[0.2031899,0.03264445,0.02058205,0.4831349,0.1354869,0.000329399,0.00005667855,0.0007727507,0.123803],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01577234,"threshold_uncertainty_score":0.08341306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02062726426739496,"score_gpt":0.2983833441682386,"score_spread":0.2777560799008436,"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."}}