{"id":"W4386366683","doi":"10.2139/ssrn.4559167","title":"Evolution of Cybersecurity Disclosure","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer security; Business; Internet privacy; 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":[0.001712959,0.00008887441,0.000226399,0.001528477,0.0007458398,0.003846033,0.0005307164,0.001414522,0.01121032],"category_scores_gemma":[0.01951814,0.0002217221,0.0001645044,0.001372598,0.000897722,0.002057792,0.0009602752,0.001158545,0.000984202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001750382,"about_ca_system_score_gemma":0.0008276784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005698273,"about_ca_topic_score_gemma":0.005176301,"domain_scores_codex":[0.9989564,0.0003201111,0.0000615012,0.000219606,0.0002392186,0.0002031184],"domain_scores_gemma":[0.9852733,0.007126179,0.003218994,0.0008607177,0.00246684,0.001054036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008572841,0.0005467574,0.7565734,0.0001246224,0.0001101021,0.0005307446,0.006531905,0.006534213,0.006466157,0.1080737,0.005993973,0.1076571],"study_design_scores_gemma":[0.0000373583,0.0002032258,0.9287487,0.00007673104,0.00004372266,0.0007164469,0.007674235,0.01198132,0.002218848,0.02528585,0.02296613,0.0000474063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814838,0.0004832439,0.0006618809,0.0017241,0.00001619541,0.00001195776,0.0004182261,0.00002951268,0.01517112],"genre_scores_gemma":[0.9978655,0.0000910514,0.0001141909,0.00005742184,0.000008222643,0.000002315974,0.00009253871,0.000005286974,0.001763516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01121032,"threshold_uncertainty_score":0.03750229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01651509512732405,"score_gpt":0.2592035191539132,"score_spread":0.2426884240265891,"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."}}