{"id":"W2541624213","doi":"","title":"Discriminatory use of stop and search in England And Wales for Collaborative Research Network Panel,'Racial profiling in the United States, Canada and the United Kingdom.'","year":2005,"lang":"en","type":"other","venue":"Nottingham Trent University's Institutional Repository (Nottingham Trent Repository)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Profiling (computer programming); Kingdom; Political science; Racism; Racial bias; New england; Public administration; Criminology; Law; Sociology; Computer science; Politics","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":[0.006451686,0.0002086582,0.0005758601,0.001888702,0.002620901,0.00197761,0.001583876,0.00171352,0.005162708],"category_scores_gemma":[0.02560402,0.0005490638,0.0002898434,0.004143927,0.00124121,0.001844763,0.003180713,0.001979509,0.0008656745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004517047,"about_ca_system_score_gemma":0.01329023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7160894,"about_ca_topic_score_gemma":0.9055864,"domain_scores_codex":[0.9939197,0.002125017,0.000748667,0.0003442248,0.001413167,0.001449131],"domain_scores_gemma":[0.9829983,0.005244161,0.002697394,0.00130987,0.005520997,0.002229297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007105281,0.0001569833,0.38744,0.001165992,0.0001074287,0.000656976,0.07173131,0.000317359,0.0004208353,0.0205098,0.4451816,0.07160114],"study_design_scores_gemma":[0.00003591277,0.00004669555,0.9119132,0.0007422236,0.00004055692,0.000133847,0.02016908,0.00009770848,0.0002352372,0.0005388921,0.06598353,0.0000631371],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7101927,0.02681102,0.001088746,0.04469383,0.0009437266,0.0005320619,0.08560795,0.00008003939,0.1300499],"genre_scores_gemma":[0.8680987,0.005746949,0.001149975,0.01114754,0.00009686491,0.001231637,0.01710864,0.0001003341,0.09531926],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2839106,"threshold_uncertainty_score":0.5711651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08191159803585173,"score_gpt":0.271894096075554,"score_spread":0.1899824980397023,"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."}}