{"id":"W2072994672","doi":"10.1080/0034676042000296227","title":"Fishing for Discrimination","year":2004,"lang":"en","type":"article","venue":"Review of Social Economy","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turkish; Test (biology); Age discrimination; Psychology; Employment discrimination; Demographic economics; Social psychology; Political science; Law; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.001130695,0.00004902026,0.0001804392,0.00004724154,0.0004457828,0.00005382332,0.0001762727,0.0000436188,0.000246052],"category_scores_gemma":[0.0005851609,0.00005232265,0.0001511376,0.000131277,0.0001580683,0.0003789032,0.00002081651,0.00004478027,0.00001818044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000176363,"about_ca_system_score_gemma":0.0003001362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007160211,"about_ca_topic_score_gemma":0.000652161,"domain_scores_codex":[0.9992697,0.00006371887,0.0002369567,0.000111758,0.0001546807,0.0001632003],"domain_scores_gemma":[0.9994441,0.00006935671,0.0001389604,0.00005559318,0.0002436174,0.0000484121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002151158,0.00003519366,0.0001617912,0.005136384,0.00001205172,2.021845e-7,0.003757219,2.822052e-7,0.000004339388,0.9461406,0.01481203,0.02993768],"study_design_scores_gemma":[0.0004151895,0.00002388776,0.001283177,0.0008592507,0.00004867725,1.125296e-7,0.003320892,0.000001243622,0.00005073201,0.09299322,0.9008684,0.000135226],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005647791,0.0199586,0.002208285,0.1062104,0.0003169464,0.002284055,0.00002725272,0.00006322454,0.8632835],"genre_scores_gemma":[0.9396742,0.04950535,0.001592648,0.002874925,0.001543438,0.000402307,0.00009336273,0.00002773468,0.004286029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9340264,"threshold_uncertainty_score":0.3428646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06249467503700749,"score_gpt":0.4094377867496993,"score_spread":0.3469431117126918,"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."}}