{"id":"W4213291282","doi":"10.2139/ssrn.3987388","title":"Comments on the Toronto Police Services Board Proposed Policy on AI Technologies - Montréal Society and Artificial Intelligence Collective (MoSAIC)","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Concordia University; Université de Montréal; Toronto Metropolitan University; McGill University","funders":"","keywords":"Mosaic; Collective intelligence; Artificial intelligence; Sociology; Engineering; Management; Political science; Operations research; Public administration; Computer science; Art; Economics; Visual arts","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01232159,0.001809486,0.001645269,0.002068151,0.02091942,0.01634958,0.005987784,0.1442122,0.03606326],"category_scores_gemma":[0.04479475,0.002427201,0.002295605,0.002379492,0.006841224,0.006131832,0.004872785,0.05976119,0.01042897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04795843,"about_ca_system_score_gemma":0.06281399,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6075153,"about_ca_topic_score_gemma":0.7386302,"domain_scores_codex":[0.9887454,0.001403083,0.0007059464,0.001186742,0.004258656,0.00370013],"domain_scores_gemma":[0.9748141,0.01242098,0.00119293,0.0006397917,0.00702237,0.003909781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003657925,0.00001407491,0.0002348856,0.00003504175,0.000007405011,0.0001743251,0.000725292,0.00008605579,0.0001104201,0.007904964,0.9897503,0.0009206269],"study_design_scores_gemma":[0.00007647016,0.00002594301,0.002783996,0.0002277819,0.00004379969,0.00005488172,0.002369812,0.0002246407,0.000343743,0.002154303,0.991591,0.0001036694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001622906,0.001010374,0.000190151,0.957903,0.02076054,0.0001088463,0.0005450727,0.00007634081,0.01778278],"genre_scores_gemma":[0.007746877,0.0006231817,0.0002577768,0.8702132,0.007957844,0.000191133,0.0001406488,0.00008591828,0.1127835],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9790806,"threshold_uncertainty_score":0.7895921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02410760219743518,"score_gpt":0.3242467341239266,"score_spread":0.3001391319264914,"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."}}