{"id":"W4413341597","doi":"10.5204/mcj.3179","title":"Racebending and Adaptation","year":2025,"lang":"en","type":"article","venue":"M/C Journal","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Adaptation (eye); Computer science; Psychology; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005800185,0.00003066423,0.00005623163,0.0000356306,0.001055201,0.00008177955,0.00005919484,0.00002652924,0.00009667883],"category_scores_gemma":[0.0001022711,0.00002957669,0.00003266591,0.0001306466,0.0001814141,0.0001355738,0.000007028314,0.0001224108,0.000005283056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001111223,"about_ca_system_score_gemma":0.0001588919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001347226,"about_ca_topic_score_gemma":0.0001037565,"domain_scores_codex":[0.9995301,0.00008588726,0.0000866249,0.0000556806,0.0001257699,0.0001158872],"domain_scores_gemma":[0.9997781,0.00004066308,0.00006018901,0.0000269456,0.00003654552,0.00005756535],"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":[0.00002494322,0.00004817114,0.02264406,0.00001214117,0.00006598893,0.00001513739,0.1735039,0.00004344656,0.0009034527,0.06083348,0.12592,0.6159853],"study_design_scores_gemma":[0.0001739191,0.0000131617,0.004023424,0.00002310776,0.00001238473,0.000003306617,0.07148037,0.0001552718,0.000006664004,0.002276639,0.9217737,0.00005810679],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3374775,0.005097897,0.0204103,0.01060546,0.002604341,0.0001376113,0.000001430524,0.00007411535,0.6235913],"genre_scores_gemma":[0.9842176,0.0008491889,0.002002619,0.0003862211,0.0003139566,8.702036e-7,1.470967e-7,0.000002429814,0.01222697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7958537,"threshold_uncertainty_score":0.8115861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02106256092682164,"score_gpt":0.3139271581962452,"score_spread":0.2928645972694236,"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."}}