{"id":"W4403557118","doi":"10.1007/978-3-031-68146-2_5","title":"Ethical Frameworks for Public Safety Analytics","year":2024,"lang":"en","type":"book-chapter","venue":"Advanced sciences and technologies for security applications","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Police Service; University of Saskatchewan","funders":"","keywords":"Analytics; Engineering ethics; Business; Data science; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity"],"consensus_categories":["sts","research_integrity"],"category_scores_codex":[0.00153237,0.0002488437,0.0003648261,0.000231605,0.003330807,0.0005688494,0.0008686897,0.004178209,0.00001258786],"category_scores_gemma":[0.001474478,0.0002344316,0.0002132794,0.000314244,0.005026076,0.0002560994,0.0002202741,0.002615521,0.00000655427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001305053,"about_ca_system_score_gemma":0.000437497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003045352,"about_ca_topic_score_gemma":0.001516777,"domain_scores_codex":[0.9979971,0.000009218737,0.0003480511,0.000710205,0.0004021747,0.0005332307],"domain_scores_gemma":[0.9972883,0.001526663,0.0002125506,0.0003326256,0.0005208995,0.0001188977],"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":[0.000003352484,0.000009279463,8.706621e-7,0.00006318802,0.00002670608,1.496395e-7,0.000508478,0.000002637578,0.000001662475,0.9582282,0.0006491274,0.04050631],"study_design_scores_gemma":[0.00004224218,0.00005658695,1.3713e-7,0.00003899875,0.00003148001,2.166098e-7,0.001687524,0.00009930362,0.000002930093,0.5079371,0.4899487,0.0001548737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00001280128,0.007667219,0.06122503,0.3860546,0.0004063533,0.004297106,0.00108248,0.00156374,0.5376906],"genre_scores_gemma":[0.3338023,0.1798495,0.1668872,0.008990471,0.002306744,0.00774137,0.0005449248,0.0003699916,0.2995075],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4892995,"threshold_uncertainty_score":0.9996855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05654539023581228,"score_gpt":0.3910750872017261,"score_spread":0.3345296969659138,"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."}}