{"id":"W4387103412","doi":"10.35542/osf.io/x7b6y","title":"Who’s Got Talent for Identifying Talent?: Predictors of Equitable Gifted Identification for Black and Hispanic Students","year":2023,"lang":"en","type":"preprint","venue":"","topic":"School Choice and Performance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Gifted education; Equity (law); Identification (biology); Educational equity; African american; Psychology; Demographic economics; Political science; Mathematics education; Sociology; Pedagogy; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.001247371,0.0002222379,0.000185625,0.001275747,0.0009312065,0.001379337,0.0004995836,0.0006834799,0.006536918],"category_scores_gemma":[0.006688154,0.0001270636,0.0003756583,0.001125121,0.0007913038,0.000772069,0.001290651,0.001091156,0.0007200838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004098592,"about_ca_system_score_gemma":0.0008051912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01509725,"about_ca_topic_score_gemma":0.01940961,"domain_scores_codex":[0.9995585,0.0001350417,0.00003228595,0.00004531259,0.00008818632,0.0001405982],"domain_scores_gemma":[0.9942759,0.0009539746,0.002089857,0.0002268171,0.0004125769,0.002040854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002173118,0.00005595641,0.9977328,0.000003005676,0.000008816835,0.0000169601,0.0001847262,0.00006805476,0.00003385135,0.00008883026,0.0001948027,0.00159051],"study_design_scores_gemma":[0.000002821967,0.00005187159,0.9961527,0.00001954922,0.00001492802,0.00005248759,0.002523358,0.0005135971,0.00009862187,0.0002198868,0.0003448212,0.000005330654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987795,0.00004868947,0.00005802113,0.0002458144,0.000005139389,0.000003546965,0.0001005026,0.00000314947,0.0007556713],"genre_scores_gemma":[0.9995134,0.00002795647,0.00004767926,0.00001827392,0.000004663511,0.000002350361,0.00007873894,0.000001864285,0.0003051955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01509725,"threshold_uncertainty_score":0.03001875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1185694777205418,"score_gpt":0.4121927221813254,"score_spread":0.2936232444607835,"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."}}