{"id":"W1819274998","doi":"10.1016/j.bushor.2015.07.003","title":"We’re leaking, and everything's fine: How and why companies deliberately leak secrets","year":2015,"lang":"en","type":"article","venue":"Business Horizons","topic":"Information and Cyber Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Leak; Business; Computer security; Internet privacy; Engineering; 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":[0.01146221,0.0005358924,0.000395051,0.001532917,0.01003567,0.01926822,0.001576054,0.00790058,0.00559772],"category_scores_gemma":[0.05018215,0.0007078362,0.0005181076,0.001206782,0.02932466,0.02606544,0.0080103,0.01164315,0.001711022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005410612,"about_ca_system_score_gemma":0.008811754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006200972,"about_ca_topic_score_gemma":0.006168138,"domain_scores_codex":[0.9819742,0.008603681,0.0005341403,0.001480237,0.004557727,0.002850021],"domain_scores_gemma":[0.9588621,0.02249581,0.006083542,0.003783123,0.004924129,0.003851221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002179815,0.0001880591,0.01879529,0.0004326898,0.0001746636,0.002662729,0.3334885,0.0007063128,0.003244735,0.4662243,0.08327132,0.09059341],"study_design_scores_gemma":[0.00004541025,0.0001426596,0.00686416,0.001133391,0.0001204922,0.001689765,0.2942631,0.001473666,0.003654573,0.319011,0.371335,0.0002667588],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.411391,0.008821582,0.03833672,0.3283842,0.001952648,0.0001074535,0.0001215678,0.0005337409,0.210351],"genre_scores_gemma":[0.9736608,0.0008963125,0.00171354,0.01393044,0.0001501696,0.00002219218,0.00002415506,0.0001699585,0.009432404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01926822,"threshold_uncertainty_score":0.0606187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03444181555927264,"score_gpt":0.2372158537081925,"score_spread":0.2027740381489199,"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."}}