{"id":"W3112668332","doi":"10.1002/ece3.7062","title":"Cultivating inclusive instructional and research environments in ecology and evolutionary science","year":2020,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"National Science Foundation","keywords":"Diversity (politics); Inclusion (mineral); Flexibility (engineering); Set (abstract data type); Sociology; Engineering ethics; Ecology; Equity (law); Computer science; Social science; Biology; Political science; Engineering; Management","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001396253,0.00005331209,0.00009205243,0.0002002047,0.002049251,0.00002256305,0.00008798068,0.00009115213,0.00004330893],"category_scores_gemma":[0.002059946,0.0000564624,0.00000535488,0.0005039995,0.004139564,0.0002646127,0.0003561394,0.0002563862,0.000009108897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004305098,"about_ca_system_score_gemma":0.0004149274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004240491,"about_ca_topic_score_gemma":0.001194479,"domain_scores_codex":[0.9985164,0.0004085014,0.0001189582,0.0003127192,0.0002874516,0.0003560092],"domain_scores_gemma":[0.9993036,0.0004004972,0.00003235542,0.00003752434,0.00007783503,0.0001482248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001546672,0.00002698991,0.9618416,0.000006731294,0.000004542266,0.00000152485,0.01173514,0.000007514918,0.00114978,0.02446293,0.0003623734,0.0003854216],"study_design_scores_gemma":[0.0002369315,0.00007875395,0.9787034,0.000003826247,0.000001375341,0.000002567243,0.008334333,0.0001399877,0.000009808392,0.00882673,0.003611492,0.00005079751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696797,0.0002750703,0.000004701206,0.02834442,0.00009958757,0.0002112191,0.000002730131,0.00000895679,0.001373634],"genre_scores_gemma":[0.9986815,0.0003947053,0.0004532864,0.0001534591,0.0001206628,0.00004029298,0.000001656433,0.000002259306,0.0001521988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0290018,"threshold_uncertainty_score":0.9992499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03591206936672708,"score_gpt":0.3967003747799607,"score_spread":0.3607883054132336,"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."}}