{"id":"W3162496896","doi":"","title":"Customer's Perception of Data Theft at Canadian Banks","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Business; Damages; Data breach; Government (linguistics); Perception; Survey data collection; Identity theft; Deposit insurance; Finance; Marketing; Computer security; Law; Political science","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":[0.001663736,0.0001908399,0.0003477749,0.001244028,0.006794938,0.004566812,0.0007210504,0.001285231,0.006858472],"category_scores_gemma":[0.008977288,0.0002162433,0.0002730239,0.001859497,0.002786192,0.001220805,0.001362763,0.001983983,0.0004515593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0121321,"about_ca_system_score_gemma":0.01090311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9058929,"about_ca_topic_score_gemma":0.893566,"domain_scores_codex":[0.9968857,0.0004453353,0.00009101085,0.000143873,0.001591756,0.0008422773],"domain_scores_gemma":[0.9890483,0.001693941,0.0023889,0.0002273846,0.004340052,0.002301555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005280672,0.0003788841,0.7185808,0.0001254371,0.00006023523,0.001957585,0.2206471,0.0004750941,0.002387635,0.002931531,0.01362665,0.03830098],"study_design_scores_gemma":[0.00001638202,0.000134464,0.5985317,0.00009442068,0.00002778052,0.0005733256,0.3845172,0.0007715123,0.0003719887,0.0002001243,0.01463919,0.0001219861],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908756,0.0001189757,0.00006435272,0.001229563,0.00001206679,0.00001115358,0.00007818312,0.000005515175,0.007604544],"genre_scores_gemma":[0.9982578,0.0001342538,0.00003423267,0.0002856506,0.000004469935,0.000003073504,0.00003470415,0.000002951315,0.001242899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09410709,"threshold_uncertainty_score":0.1893226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03070373509572044,"score_gpt":0.2599341652671606,"score_spread":0.2292304301714402,"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."}}