{"id":"W3185562461","doi":"10.5465/ambpp.2021.79","title":"Knowledge Theft in Organizations","year":2021,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Acknowledgement; Work (physics); Perspective (graphical); Phenomenon; Variety (cybernetics); Psychology; Identity theft; Social psychology; Internet privacy; Public relations; Computer security; Computer science; Political science; Engineering; Epistemology; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0007033899,0.00009256617,0.0001473688,0.0002453476,0.0001867224,0.00006608476,0.0003755931,0.00008243602,0.000383814],"category_scores_gemma":[0.0001503003,0.0001056498,0.00003538404,0.002013389,0.00009496542,0.0003865983,0.0003358664,0.0001376142,0.00009036386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006915462,"about_ca_system_score_gemma":0.00002446511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001558245,"about_ca_topic_score_gemma":0.00004784371,"domain_scores_codex":[0.998917,0.00002088472,0.0002574247,0.0002655371,0.0002489859,0.0002901783],"domain_scores_gemma":[0.9996848,0.00002906887,0.00007836964,0.00004173087,0.0001132679,0.00005277783],"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":[0.000002513319,0.0001157322,0.02605156,0.0001657396,0.00003455717,0.000002262863,0.01087256,0.000001774452,0.0001063531,0.9430977,0.008372635,0.01117661],"study_design_scores_gemma":[0.000663113,0.000008943913,0.06120891,0.0002289275,0.0000708436,3.713642e-7,0.02913068,0.0001062798,0.001672211,0.02099748,0.8856068,0.0003054124],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0912875,0.0003941524,0.0000519216,0.003385478,0.00008431781,0.0002625805,4.138544e-7,0.00008554885,0.9044481],"genre_scores_gemma":[0.953898,0.0008484273,0.0006110099,0.0001743818,0.0001147412,0.00001799485,0.000001670468,0.00001370478,0.04432004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9221002,"threshold_uncertainty_score":0.4308272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0318461759526098,"score_gpt":0.3274654115535309,"score_spread":0.2956192356009211,"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."}}