{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.002395635,0.0001058042,0.0001500422,0.002365107,0.0007316035,0.001598898,0.0011388,0.0001459115,0.000001281106],"category_scores_gemma":[0.008606197,0.00008048269,0.00005089338,0.008673704,0.00007838876,0.04401112,0.0003318166,0.0001898517,0.0001099872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004324899,"about_ca_system_score_gemma":0.0005509134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003921702,"about_ca_topic_score_gemma":0.000002955319,"domain_scores_codex":[0.9978594,0.00002051288,0.0007006963,0.00005167432,0.001071608,0.0002960868],"domain_scores_gemma":[0.9907426,0.0001072859,0.001397364,0.0002869108,0.007366234,0.00009965651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002300966,0.00003038499,0.01625454,0.00004989694,0.00004691076,1.816218e-7,0.0339157,0.0009561,0.000477953,0.7184429,0.1082499,0.1215526],"study_design_scores_gemma":[0.00123489,0.0001933847,0.05124437,0.00003554924,0.00002666661,0.00005639459,0.004675231,0.01427297,0.005393389,0.004534871,0.9180436,0.000288706],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.36858,0.000009009156,0.4041078,0.2157174,0.00540404,0.002527043,0.0001625945,0.0008862077,0.002605848],"genre_scores_gemma":[0.9915249,0.00003079636,0.004939525,0.003320307,0.0000261456,0.0000283045,0.00001826018,0.000002852705,0.0001089335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8097937,"threshold_uncertainty_score":0.9997447,"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."}}