{"id":"W3095169328","doi":"10.1145/3417564","title":"Diversity and Inclusion in the Software Engineering Research Community","year":2020,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Inclusion (mineral); Diversity (politics); Software engineering; Computer science; Systems engineering; Engineering; Sociology; 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":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.1273627,0.0005589928,0.001975554,0.02068672,0.01858713,0.03935215,0.004860978,0.007589209,0.007519597],"category_scores_gemma":[0.1939506,0.0008613056,0.0009890378,0.01006486,0.04605642,0.03418972,0.06425495,0.008145991,0.0009085343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005354022,"about_ca_system_score_gemma":0.01986588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001684324,"about_ca_topic_score_gemma":0.002084064,"domain_scores_codex":[0.8384166,0.1043082,0.005745098,0.009766056,0.03395053,0.007813626],"domain_scores_gemma":[0.5609728,0.2993366,0.01908669,0.02526092,0.03636257,0.05898041],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003353599,0.0004422962,0.0410937,0.0006931121,0.0002183592,0.0007018038,0.2607035,0.0006438977,0.001454213,0.4797329,0.01481687,0.1991639],"study_design_scores_gemma":[0.0001349003,0.000258652,0.01606072,0.001574622,0.0000822266,0.0008321673,0.1259581,0.00127643,0.0007592808,0.6467898,0.2061412,0.0001318079],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4729991,0.03875596,0.02226435,0.3193532,0.003470532,0.0001391362,0.000166584,0.0002126736,0.1426386],"genre_scores_gemma":[0.9786062,0.004049978,0.003036011,0.006698291,0.001976528,0.00009850696,0.00007051189,0.0001158668,0.005348095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.995139,"threshold_uncertainty_score":0.6735662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09233833674625673,"score_gpt":0.2931667269993331,"score_spread":0.2008283902530764,"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."}}