{"id":"W4362644476","doi":"10.2139/ssrn.4408196","title":"Reporting Cyber Security Incidents to Police: An Empirical Investigation on Canadian Organizations’ Perspectives","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer security; Business; Empirical research; Criminology; Internet privacy; Political science; Computer science; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.01333158,0.0005775398,0.0006397735,0.00845432,0.02883742,0.01029131,0.003150109,0.001747224,0.004945486],"category_scores_gemma":[0.07955831,0.0008820368,0.0004765179,0.02251009,0.005920516,0.003311312,0.00472593,0.004336729,0.0003765772],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1530776,"about_ca_system_score_gemma":0.2210884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958002,"about_ca_topic_score_gemma":0.9971117,"domain_scores_codex":[0.9850504,0.003539287,0.0007314005,0.0009191153,0.005959853,0.003799819],"domain_scores_gemma":[0.9036984,0.02575179,0.01370292,0.001905455,0.04721103,0.007730378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001675688,0.0001579097,0.3326754,0.0002149437,0.00004188542,0.0005869754,0.6310263,0.0002048196,0.000484957,0.008494475,0.01007716,0.01586767],"study_design_scores_gemma":[0.00001509264,0.00005314778,0.2340925,0.0003404656,0.00004224306,0.000110276,0.7379642,0.0002879646,0.000276648,0.0003847638,0.02633223,0.0001004569],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642791,0.0008676267,0.0002998272,0.007238267,0.00006628048,0.0001733097,0.001083752,0.00000857238,0.0259833],"genre_scores_gemma":[0.9934078,0.001284481,0.0003727904,0.001179754,0.00002458842,0.00007282593,0.000333766,0.00001370464,0.003310316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1530776,"threshold_uncertainty_score":0.9823099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03043120069699063,"score_gpt":0.314620828480491,"score_spread":0.2841896277835004,"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."}}