{"id":"W7005927758","doi":"","title":"Selective Bias: Asian Americans, Test Scores, and Holistic Admissions","year":2021,"lang":"en","type":"report","venue":"Issue Lab (Candid)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Affirmative action; Action (physics); Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002827618,0.0004892301,0.0007220321,0.0001740462,0.0001436434,0.000118034,0.0002954867,0.0005555637,0.0002970014],"category_scores_gemma":[0.003196044,0.0004727768,0.0002239454,0.0003946508,0.0001830971,0.00000442052,0.0003560428,0.0004443587,0.00001322617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001154171,"about_ca_system_score_gemma":0.00160574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002101843,"about_ca_topic_score_gemma":0.001595626,"domain_scores_codex":[0.997526,0.0001235419,0.0004476372,0.001041194,0.000439131,0.0004225356],"domain_scores_gemma":[0.9976801,0.00005992715,0.0003672063,0.0009436448,0.0006014914,0.0003475863],"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":[0.00002419817,0.0002075645,0.008793701,0.0002526111,0.0005502772,0.0002722747,0.00007985204,7.148274e-7,0.08964919,0.000002913578,0.8819481,0.01821864],"study_design_scores_gemma":[0.0001869471,0.0002842426,0.001872881,0.0002461175,0.0004030353,0.0001582121,0.0001039776,0.000007704984,0.07418825,0.00003152723,0.9219299,0.0005872289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03140555,0.1582678,0.003600552,0.00269607,0.0008755943,0.003180541,0.001901171,0.0007358929,0.7973368],"genre_scores_gemma":[0.7106318,0.07959021,0.00411807,0.001198051,0.003926504,0.000304896,0.008043247,0.0004279488,0.1917593],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6792262,"threshold_uncertainty_score":0.9997724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03080436553655903,"score_gpt":0.3331794335683098,"score_spread":0.3023750680317508,"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."}}