{"id":"W3083516590","doi":"10.1093/police/paaa040","title":"Calling the Police: Dispatchers as Important Interpreters and Manufacturers of Calls for Service Data","year":2020,"lang":"en","type":"article","venue":"Policing A Journal of Policy and Practice","topic":"Policing Practices and Perceptions","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Scholarship; Mainstream; Nexus (standard); Work (physics); Subject (documents); Public relations; Service (business); Narrative; Sociology; Criminology; Political science; Business; Engineering; Law; Marketing; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01639104,0.0007063174,0.0005259144,0.002601651,0.02115689,0.01674714,0.002361271,0.00768412,0.008634373],"category_scores_gemma":[0.05384803,0.0008377782,0.0002807062,0.002544668,0.02106368,0.01469574,0.00643888,0.008711669,0.001233587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006793464,"about_ca_system_score_gemma":0.01101862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01560767,"about_ca_topic_score_gemma":0.02422897,"domain_scores_codex":[0.9684201,0.02431112,0.001008436,0.001444716,0.002520097,0.002295555],"domain_scores_gemma":[0.9572176,0.03006044,0.00491905,0.001215972,0.00360178,0.00298522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002488853,0.00001069047,0.001273069,0.0001469357,0.000003268397,0.0009609785,0.8982456,0.00002533869,0.0001655988,0.06820162,0.02397772,0.00696429],"study_design_scores_gemma":[0.000006981382,0.00001511724,0.001076705,0.000652975,0.000007618878,0.0005076074,0.8264536,0.0001014131,0.0001596188,0.004362661,0.1666282,0.00002754906],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3305237,0.0130179,0.007784974,0.4906838,0.00740479,0.0001538297,0.0001751168,0.0001146611,0.1501412],"genre_scores_gemma":[0.9522657,0.005417836,0.001594834,0.02092506,0.0015313,0.00007883988,0.00003394976,0.0001427647,0.01800981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02115689,"threshold_uncertainty_score":0.08668512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1418862900499735,"score_gpt":0.4607056083122854,"score_spread":0.3188193182623119,"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."}}