{"id":"W3101029204","doi":"10.1111/conl.12774","title":"Next steps in dismantling discrimination: Lessons from ecology and conservation science","year":2020,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Oppression; Privilege (computing); Environmental ethics; Equity (law); Ecology; Sociology; Process (computing); Field (mathematics); Colonialism; Engineering ethics; Political science; Politics; Law; Engineering; Computer science; Biology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03948854,0.0007102404,0.001209082,0.003633934,0.00940209,0.0152493,0.003786344,0.01762146,0.009417405],"category_scores_gemma":[0.03407658,0.0004055632,0.0009780066,0.002346094,0.05761288,0.02691124,0.008719393,0.01942793,0.002002443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008430546,"about_ca_system_score_gemma":0.02396265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0102975,"about_ca_topic_score_gemma":0.01818554,"domain_scores_codex":[0.988341,0.00775244,0.0004330344,0.0005960276,0.001542205,0.001335231],"domain_scores_gemma":[0.939538,0.04188257,0.001445961,0.002523836,0.006376753,0.008232935],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001031539,0.0003613852,0.002093661,0.0009974035,0.00004471928,0.0007626514,0.0145804,0.001181129,0.0003112576,0.7572063,0.09591767,0.1264402],"study_design_scores_gemma":[0.00002879626,0.00005118226,0.0006040313,0.00120642,0.000008578836,0.000237263,0.01325165,0.0003228193,0.0001545669,0.8334318,0.1506547,0.00004814699],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002242745,0.0352987,0.003248636,0.9383456,0.001780887,0.00001816392,0.00001714054,0.0000358177,0.01901231],"genre_scores_gemma":[0.5173707,0.1192527,0.0298797,0.3081957,0.01018864,0.000285629,0.0001062619,0.000127737,0.01459298],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9605114,"threshold_uncertainty_score":0.2088379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03965200305508349,"score_gpt":0.2316632007056852,"score_spread":0.1920111976506017,"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."}}