{"id":"W1926412811","doi":"10.1111/isj.12080","title":"Company information privacy orientation: a conceptual framework","year":2015,"lang":"en","type":"article","venue":"Information Systems Journal","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Business; Obligation; Conceptual framework; Information privacy; Knowledge management; Privacy by Design; Privacy policy; Conceptual model; Information system; Economic Justice; Public relations; Internet privacy; Computer science; Sociology; Political science; Law","routes":{"ca_aff":true,"ca_fund":true,"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":["scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.00267393,0.0001219917,0.0001758234,0.0002779925,0.0009003105,0.001593212,0.0004945737,0.0001955028,0.00007595158],"category_scores_gemma":[0.00287772,0.0001153241,0.00005761668,0.0004645663,0.000156939,0.01786087,0.00009245594,0.000428434,0.001115903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004781914,"about_ca_system_score_gemma":0.0006967892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007244232,"about_ca_topic_score_gemma":0.00001321949,"domain_scores_codex":[0.997205,0.0003347258,0.0008809492,0.00005984843,0.001216671,0.0003028017],"domain_scores_gemma":[0.9972733,0.00008028326,0.0008090871,0.0002282976,0.001212365,0.0003966851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001323757,0.00003936729,0.003217663,0.00005496177,0.00005195253,0.000002622931,0.5708312,0.001085617,0.000001726616,0.2879015,0.1205552,0.01612586],"study_design_scores_gemma":[0.0007524824,0.00006097116,0.0004811702,0.00007374265,0.00000882589,0.00008792435,0.1077185,0.0006070044,0.000005994937,0.003705908,0.8863399,0.0001575372],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05428916,0.0003888021,0.8439122,0.003608287,0.01526696,0.001524811,0.00008783389,0.000458801,0.0804631],"genre_scores_gemma":[0.9962336,0.00005875088,0.001729393,0.0004730226,0.001341291,0.00002805743,0.0000827546,0.000004286641,0.00004884979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9419444,"threshold_uncertainty_score":0.9996619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05519287225603606,"score_gpt":0.3279775429015141,"score_spread":0.272784670645478,"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."}}