{"id":"W3200810548","doi":"10.2139/ssrn.3910898","title":"Collateral Damage: The Relationship Between High-Salience Events and Variation in Racial Discrimination","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Collateral damage; Salience (neuroscience); Variation (astronomy); Collateral; Psychology; Cognitive psychology; Political science; Criminology; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004263703,0.00006741126,0.0000921503,0.0001374013,0.001162564,0.0002533122,0.0002000423,0.00007595637,0.00003532069],"category_scores_gemma":[0.001585731,0.00005774922,0.00003368106,0.0005516334,0.0001166268,0.0006256448,0.00004763505,0.0008450181,0.00000771225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007868799,"about_ca_system_score_gemma":0.002376839,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001837033,"about_ca_topic_score_gemma":0.04915689,"domain_scores_codex":[0.9973096,0.0008661622,0.0002296614,0.0001570552,0.000609413,0.0008281065],"domain_scores_gemma":[0.9991582,0.0004027899,0.0001074336,0.00008338409,0.0001816603,0.00006652613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007311206,0.00002625609,0.5279768,0.000003611906,0.000007971908,0.000001993007,0.004871203,0.000006997267,0.00002611654,0.4643175,0.00001657635,0.002737697],"study_design_scores_gemma":[0.000260781,0.0000167648,0.6079355,0.000007882489,0.00001251656,0.000003547155,0.004484699,0.00001274078,0.000004111674,0.3871154,0.0001006778,0.00004539247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867626,0.0003473612,0.001839961,0.009464758,0.0001865976,0.0001430993,0.000002330368,0.000009775679,0.001243503],"genre_scores_gemma":[0.9959946,0.0007186015,0.00003295696,0.00003469918,0.0003507176,0.000006372959,0.00000742514,0.000005887706,0.002848737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07995869,"threshold_uncertainty_score":0.9681935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03683020639976757,"score_gpt":0.3560697765056514,"score_spread":0.3192395701058838,"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."}}