{"id":"W1613205899","doi":"","title":"Information Sharing Among Canadian Police Departments: Trusting Individuals or Systems?","year":2005,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Internet privacy; Information sharing; Information system; Business; Public relations; Computer security; Political science; Law; Computer science","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":[0.01674152,0.0003967159,0.0005302517,0.004820824,0.04355472,0.02196464,0.003246288,0.00296854,0.007382076],"category_scores_gemma":[0.06337172,0.0007527471,0.0003236688,0.008126258,0.02320919,0.0102622,0.007837502,0.003285551,0.0003875648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1043555,"about_ca_system_score_gemma":0.174866,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9637722,"about_ca_topic_score_gemma":0.9691824,"domain_scores_codex":[0.9765782,0.007894456,0.0007393268,0.001674689,0.005112355,0.008000924],"domain_scores_gemma":[0.9284791,0.02445198,0.01002326,0.004367225,0.01856436,0.01411413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001712771,0.0001235855,0.1266067,0.0001034298,0.00005799108,0.000382465,0.6953253,0.0005508743,0.0004438452,0.1058592,0.01207957,0.05829584],"study_design_scores_gemma":[0.00002167884,0.00005141902,0.07798127,0.0002249329,0.0000480835,0.000122118,0.8397862,0.001481472,0.0003281311,0.01015416,0.0696914,0.000109107],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.838235,0.0007918108,0.002954012,0.02820449,0.0001032294,0.000170454,0.0002254212,0.00005842733,0.1292572],"genre_scores_gemma":[0.9964015,0.0001543133,0.0003214016,0.0004013476,0.000007932221,0.00001450049,0.00002725787,0.000009528147,0.002662222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1043555,"threshold_uncertainty_score":0.757156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03240967795746613,"score_gpt":0.2432840032873294,"score_spread":0.2108743253298633,"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."}}