{"id":"W6950565007","doi":"10.5683/sp3/okggws","title":"Standardizing Definitions and Data Collection Approach for Black-owned Businesses and Black Entrepreneurs | Normalisation des définitions et de l'approche de la collecte de données pour les entreprises et les entrepreneurs noirs","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Entrepreneurship; Small business; Diversity (politics); Population; Black box; Scale (ratio); Business development","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.5298651,0.001657126,0.003021247,0.01723218,0.006656337,0.01589288,0.00917732,0.004474654,0.00533882],"category_scores_gemma":[0.6365393,0.002752781,0.003803166,0.01746889,0.00997241,0.01288119,0.01354689,0.009916361,0.003300312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01831891,"about_ca_system_score_gemma":0.0872144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05490154,"about_ca_topic_score_gemma":0.04726015,"domain_scores_codex":[0.4219437,0.3705021,0.1114492,0.01795083,0.07262139,0.005532735],"domain_scores_gemma":[0.2586465,0.3407803,0.04083887,0.1263259,0.2274595,0.005948932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001184497,0.001005131,0.08723636,0.02464512,0.001254273,0.0007110732,0.09486153,0.00303101,0.007122229,0.1564472,0.1316457,0.4908559],"study_design_scores_gemma":[0.0004968897,0.0006309291,0.07467639,0.03396114,0.0004860301,0.000472863,0.0404138,0.006437198,0.009196754,0.058698,0.773994,0.0005360389],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.03498317,0.005947322,0.7224124,0.03262236,0.004372523,0.1387203,0.03716408,0.001706635,0.02207131],"genre_scores_gemma":[0.08095061,0.003002851,0.6531051,0.007800521,0.0006880686,0.231871,0.01769402,0.0006798793,0.004208067],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9450985,"threshold_uncertainty_score":0.57976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0829273030462138,"score_gpt":0.3345680139541791,"score_spread":0.2516407109079652,"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."}}