{"id":"W4392161672","doi":"10.46692/9781529222975.002","title":"Class and Social Background Discrimination: An Introduction","year":2023,"lang":"en","type":"other","venue":"","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Class (philosophy); Computer science; Genealogy; Artificial intelligence; History","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005264239,0.0006057073,0.0006688362,0.001361387,0.003021686,0.003695294,0.0008909425,0.00215984,0.02381053],"category_scores_gemma":[0.001622259,0.0003943274,0.0005401825,0.001826704,0.002342936,0.003023939,0.002383062,0.003386816,0.003004336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002941364,"about_ca_system_score_gemma":0.002595513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01919545,"about_ca_topic_score_gemma":0.01795049,"domain_scores_codex":[0.9993216,0.0001427277,0.000029552,0.00009783157,0.0002426931,0.000165706],"domain_scores_gemma":[0.999365,0.0003017581,0.0000552745,0.00003233553,0.0001256698,0.0001199231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000440798,0.000283237,0.006321372,0.0009786541,0.00002210546,0.0006693732,0.01939293,0.0006250644,0.0004639012,0.4351236,0.3211619,0.2149138],"study_design_scores_gemma":[0.000003842199,0.00004658238,0.009068795,0.0011495,0.000006391235,0.000342094,0.003266935,0.0001038198,0.00004657847,0.03299703,0.9529488,0.0000195962],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01832297,0.1270513,0.002488249,0.03465052,0.007707806,0.0002224573,0.0006872294,0.00005660434,0.8088127],"genre_scores_gemma":[0.1895905,0.2520481,0.003342813,0.02193039,0.01418615,0.0004753418,0.001284221,0.0002316081,0.5169108],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02381053,"threshold_uncertainty_score":0.07965416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0833007801225715,"score_gpt":0.4020619081064822,"score_spread":0.3187611279839108,"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."}}