{"id":"W4283690849","doi":"10.3758/s13428-022-01873-w","title":"Evaluating validity properties of 25 race-related scales","year":2022,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Nomological network; Prejudice (legal term); Scale (ratio); Psychology; Social psychology; Ceiling (cloud); Construct validity; Race (biology); Construct (python library); External validity; Cognitive psychology; Structural equation modeling; Psychometrics; Computer science; Statistics; Mathematics; Developmental psychology; Sociology; Engineering","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05686127,0.001020373,0.0009773984,0.004151997,0.001637742,0.001811864,0.001700958,0.001685145,0.002817421],"category_scores_gemma":[0.1764099,0.0007071111,0.003492608,0.002218892,0.00220141,0.001970489,0.002277918,0.001163877,0.0007806062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001815661,"about_ca_system_score_gemma":0.002097862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002968071,"about_ca_topic_score_gemma":0.004259462,"domain_scores_codex":[0.9622754,0.0212902,0.00384085,0.002822878,0.008785843,0.0009848916],"domain_scores_gemma":[0.655753,0.2851903,0.018909,0.0119851,0.02564942,0.002513296],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004672595,0.0008846582,0.9276646,0.0002341126,0.001426562,0.000104216,0.003229239,0.001720579,0.002029548,0.002661912,0.000883119,0.05448883],"study_design_scores_gemma":[0.001092376,0.00358795,0.9690728,0.0003278257,0.0009607031,0.0002930873,0.002405751,0.01113768,0.003408464,0.003569452,0.004033305,0.0001105843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822985,0.000741203,0.007616195,0.0002035538,0.0001921813,0.0009991336,0.0005020394,0.00005429409,0.007392973],"genre_scores_gemma":[0.9876614,0.000256389,0.008713952,0.00014201,0.00007811999,0.001386169,0.0007694859,0.00005731795,0.000935093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9431387,"threshold_uncertainty_score":0.3007147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7966474623532196,"score_gpt":0.7045809873738367,"score_spread":0.09206647497938292,"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."}}