{"id":"W6969400995","doi":"10.5683/sp3/4nezvc","title":"Equality, Diversity, and Inclusion Review Datasets","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Inclusion (mineral); International business; Bibliometrics; English language; Business information; Period (music)","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":["metaepi_narrow","sts","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002532894,0.0005305539,0.0009004675,0.0003018135,0.003056673,0.00004779734,0.00177424,0.00035779,0.00008397034],"category_scores_gemma":[0.0008461284,0.0005044813,0.000126109,0.0005481093,0.0001849806,0.0002104091,0.2105802,0.0005104805,0.002790711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001781118,"about_ca_system_score_gemma":0.00007754965,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4213991,"about_ca_topic_score_gemma":0.1308629,"domain_scores_codex":[0.9961695,0.0004764586,0.0005191423,0.000868642,0.001490627,0.0004756246],"domain_scores_gemma":[0.996689,0.0002122424,0.0004713709,0.002225929,0.00009244143,0.0003090435],"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":[0.00001391297,0.00005437547,0.0000087237,0.005157788,0.00008372662,0.0002288242,0.0000485899,4.67018e-8,6.13459e-7,0.00001595861,0.9940587,0.0003287782],"study_design_scores_gemma":[0.0002681787,0.00003298966,0.0003215966,0.004164077,0.0007700089,0.00002318105,0.000003809677,8.186421e-7,5.731337e-7,0.0004219257,0.9934493,0.0005435484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[7.128336e-7,0.01078699,2.99262e-7,0.0004882235,0.0001351582,0.0007145809,0.9875072,0.0002423655,0.0001244246],"genre_scores_gemma":[1.507916e-7,0.09528046,0.00001068808,0.002081539,0.0001740311,0.00002277227,0.9023097,0.00008172791,0.0000389443],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2905361,"threshold_uncertainty_score":0.9997407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07706924402699601,"score_gpt":0.3509961244644473,"score_spread":0.2739268804374513,"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."}}