{"id":"W7079688555","doi":"10.20381/ruor-31358","title":"Tech, Trust, and Legitimacy: Discourse Ethics and the Adoption of Artificial Intelligence Technologies in Policing","year":2025,"lang":"en","type":"other","venue":"University of Ottawa - Library","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public discourse; Ethical issues; Information ethics; Emerging technologies; Ethics of technology; Discourse ethics","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":[0.0001767405,0.000102076,0.0002137773,0.0002373086,0.0000628317,0.00001741117,0.0005774806,0.0002687901,0.00002575973],"category_scores_gemma":[0.00008610833,0.00008935711,0.00003072608,0.0002822902,0.0008790202,0.000176781,0.0007045805,0.0003925577,4.736269e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004144126,"about_ca_system_score_gemma":0.00009582623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004709643,"about_ca_topic_score_gemma":0.00007404843,"domain_scores_codex":[0.9994214,0.00006746549,0.0001133869,0.00021637,0.00008245201,0.00009898953],"domain_scores_gemma":[0.9993542,0.0001903858,0.0001644029,0.0002651312,0.00001318356,0.00001273232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002403181,0.00003527619,0.002096205,0.000427894,0.00003118969,0.00001964888,0.001780638,0.00004175202,0.00003430501,0.9523956,0.00600073,0.03711278],"study_design_scores_gemma":[0.001865275,0.0002424784,0.003453723,0.006894617,0.0001877668,0.00004200962,0.05635584,0.03771547,0.01031806,0.5618331,0.3194875,0.001604123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001330303,0.00152674,0.08236603,0.04162621,0.0001234256,0.0005196747,0.00004728679,0.0004668853,0.8719934],"genre_scores_gemma":[0.6286365,0.005424868,0.07637025,0.0002305307,0.00007548201,0.000001471924,0.00003103848,0.0000358246,0.289194],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6273062,"threshold_uncertainty_score":0.3643877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396631814658203,"score_gpt":0.2214925864174112,"score_spread":0.2075262682708292,"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."}}