{"id":"W4379051592","doi":"10.1002/asi.24804","title":"Information misbehavior: How organizations use information to deceive","year":2023,"lang":"en","type":"article","venue":"Journal of the Association for Information Science and Technology","topic":"Information and Cyber Security","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Wrongdoing; Exploit; Harm; Business; Public relations; Obfuscation; Information sharing; Psychology; Computer science; Computer security; Political science; Social psychology; Law","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":[0.008104035,0.0002817484,0.0002978474,0.00353743,0.001586794,0.006824618,0.0008342504,0.001653726,0.002180568],"category_scores_gemma":[0.04933411,0.0002579058,0.0003417181,0.002915211,0.002619093,0.006662585,0.002590466,0.001803523,0.000427975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001929096,"about_ca_system_score_gemma":0.001365405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007931673,"about_ca_topic_score_gemma":0.008586464,"domain_scores_codex":[0.9900974,0.006300915,0.0005364961,0.0007543189,0.001449835,0.0008611123],"domain_scores_gemma":[0.8941809,0.06330939,0.02720125,0.007629131,0.005626549,0.002052664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000408516,0.0004187468,0.8249513,0.0003196926,0.0002528743,0.0007706528,0.02143833,0.007570213,0.001790107,0.03130411,0.007151037,0.1036244],"study_design_scores_gemma":[0.00009505013,0.0005707685,0.6204492,0.001038408,0.0003255811,0.001884077,0.1004912,0.1131181,0.007219306,0.08493415,0.06957795,0.0002961353],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707402,0.001343559,0.00676951,0.004671706,0.00003135953,0.00006053615,0.0004119879,0.00008063212,0.01589038],"genre_scores_gemma":[0.9979296,0.0002553199,0.001029582,0.0001648848,0.0000165542,0.000009800588,0.0001521037,0.000009465237,0.0004327901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008104035,"threshold_uncertainty_score":0.04285878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008536184276857388,"score_gpt":0.2397780491859704,"score_spread":0.231241864909113,"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."}}