{"id":"W4404732346","doi":"10.1111/cobi.14395","title":"Enhancing disciplinary diversity and inclusion in conservation science and practice based on a case study of the Society for Conservation Biology","year":2024,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"U.S. Forest Service; Rocky Mountain Research Station; Society for Conservation Biology; U.S. Department of Agriculture","keywords":"Discipline; Inclusion (mineral); Diversity (politics); Grassroots; Variety (cybernetics); Engineering ethics; Political science; Work (physics); Sociology; Public relations; Social science; Engineering; Computer science","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.01903222,0.0005197404,0.0006255613,0.003663668,0.02940673,0.008644468,0.002686678,0.003950209,0.003470841],"category_scores_gemma":[0.01889995,0.0004796455,0.0006767907,0.004531666,0.01328174,0.00776414,0.01124189,0.004875027,0.000446269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01509193,"about_ca_system_score_gemma":0.01683971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03392636,"about_ca_topic_score_gemma":0.1189967,"domain_scores_codex":[0.9780326,0.01737026,0.0003955891,0.0006315127,0.001832277,0.001737815],"domain_scores_gemma":[0.9765246,0.01407916,0.001848046,0.001038898,0.002098894,0.004410419],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004854813,0.0008940485,0.0216255,0.00023924,0.0000239354,0.01072463,0.9025964,0.000272168,0.0005220312,0.02653842,0.008618491,0.02789656],"study_design_scores_gemma":[0.00001846437,0.0001207891,0.008028698,0.0004346155,0.00001542152,0.001506752,0.9456946,0.0004387636,0.0002324134,0.003729777,0.0397507,0.00002910887],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9337589,0.001393977,0.003261512,0.02766796,0.0001875103,0.0004380993,0.00005598843,0.00002187534,0.03321416],"genre_scores_gemma":[0.9855057,0.001822293,0.004382764,0.002520023,0.00005913121,0.0003023557,0.00005480782,0.00002329841,0.005329537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9973133,"threshold_uncertainty_score":0.1095002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07026516100796623,"score_gpt":0.3373233181762166,"score_spread":0.2670581571682503,"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."}}