{"id":"W6944263052","doi":"10.17605/osf.io/tjghq","title":"Counterstereotypes & Threat perception - Race label offset","year":2018,"lang":"en","type":"other","venue":"Open Science Framework","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Perception; Race (biology); Risk perception; Affect (linguistics)","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":[],"consensus_categories":[],"category_scores_codex":[0.001889281,0.0007842342,0.000410608,0.001357349,0.002149567,0.00767237,0.001517592,0.002619722,0.1262818],"category_scores_gemma":[0.007074399,0.0002310253,0.0003538567,0.001350319,0.004278712,0.005711087,0.004027883,0.002619155,0.02026509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002552902,"about_ca_system_score_gemma":0.003793173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006212236,"about_ca_topic_score_gemma":0.009360001,"domain_scores_codex":[0.9991421,0.0002002306,0.00002643269,0.0002072449,0.0003225688,0.0001015004],"domain_scores_gemma":[0.997833,0.0006964165,0.0002662182,0.0002517133,0.0005291935,0.0004235508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000614256,0.00007311792,0.00128361,0.0001174216,0.000006143412,0.00008055007,0.0003622751,0.0003861333,0.001079244,0.7276109,0.07551423,0.1934249],"study_design_scores_gemma":[0.00001040957,0.00002111783,0.003711815,0.0002697193,0.00001323816,0.0001683982,0.0005578751,0.001568327,0.001311172,0.5406315,0.4517014,0.00003497717],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007337137,0.004579617,0.04483684,0.02460053,0.002152714,0.00005704011,0.001879757,0.001062436,0.913494],"genre_scores_gemma":[0.3150045,0.008817197,0.05726065,0.005305187,0.001793738,0.0002775565,0.002044587,0.001789033,0.6077076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1262818,"threshold_uncertainty_score":0.4224548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02291124332569515,"score_gpt":0.3363817317825927,"score_spread":0.3134704884568975,"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."}}