{"id":"W4220715689","doi":"10.1002/asi.24633","title":"<scp>GKC‐CI</scp>: A unifying framework for contextual norms and information governance","year":2022,"lang":"en","type":"article","venue":"Journal of the Association for Information Science and Technology","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Security Agency","keywords":"Corporate governance; Context (archaeology); Perception; Internet privacy; Information governance; Computer science; Knowledge management; Public relations; Information system; Sociology; Psychology; Business; Political science; Management information systems","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":[0.02070828,0.0009433563,0.001000786,0.007884319,0.005075932,0.01247488,0.002920835,0.004309122,0.009464938],"category_scores_gemma":[0.02746059,0.0007814666,0.001998101,0.009175295,0.03489593,0.01168709,0.00616061,0.007684422,0.002321955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01483223,"about_ca_system_score_gemma":0.01892698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0491079,"about_ca_topic_score_gemma":0.02667118,"domain_scores_codex":[0.9868746,0.007242061,0.001130657,0.001511266,0.00248662,0.0007546936],"domain_scores_gemma":[0.9702581,0.01186966,0.00209849,0.005922287,0.008146537,0.001704875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004371528,0.000008359474,0.0002403493,0.00004148789,0.000004158583,0.00003115997,0.001188236,0.0006390106,0.00006936057,0.991237,0.002970998,0.003565436],"study_design_scores_gemma":[0.00001227652,0.00001429596,0.0007922055,0.0003549827,0.00001635437,0.0001432639,0.002074564,0.008684307,0.0005119324,0.9076833,0.07967357,0.00003907412],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007609054,0.001177396,0.7622483,0.04780852,0.0005144999,0.0009791821,0.001752983,0.00109954,0.1768104],"genre_scores_gemma":[0.500223,0.00135281,0.4755309,0.004567204,0.000503039,0.002631112,0.00165631,0.000355417,0.01318028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0491079,"threshold_uncertainty_score":0.1095172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445131292979511,"score_gpt":0.2834271241717133,"score_spread":0.2689758112419182,"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."}}