{"id":"W1556840283","doi":"10.22230/cjc.2011v36n1a2252","title":"Interpreting Privacy on Campus: The Freedom of Information and Personal Privacy and Ontario Universities","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Law, Rights, and Freedoms","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Legislation; Privacy laws of the United States; Privacy policy; Information privacy; Political science; Internet privacy; Privacy law; Information privacy law; Personally identifiable information; Public relations; Academic freedom; Sociology; Higher education; Law; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.007760598,0.0002788082,0.0003529643,0.001880547,0.0376753,0.01535063,0.001544429,0.002724844,0.004618082],"category_scores_gemma":[0.01874262,0.0004247611,0.0003876936,0.004082818,0.05069888,0.007564443,0.008463535,0.003362083,0.0002342736],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1712319,"about_ca_system_score_gemma":0.1620353,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9697819,"about_ca_topic_score_gemma":0.9846658,"domain_scores_codex":[0.9907557,0.003983993,0.0003533906,0.0005295064,0.002173701,0.002203686],"domain_scores_gemma":[0.9859735,0.006882756,0.001759485,0.0008351292,0.002068494,0.002480547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005178098,0.00002375132,0.01725993,0.0001169749,0.00001070659,0.0006407085,0.7793022,0.0002777985,0.0003506266,0.1722856,0.007830445,0.02184953],"study_design_scores_gemma":[0.00001650784,0.00001447638,0.02912884,0.0004788481,0.00002262396,0.0002009094,0.7656553,0.0004039268,0.0003667344,0.03217336,0.1714558,0.00008267708],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5297461,0.008964577,0.003364879,0.1461335,0.0003146959,0.0001239104,0.0002464818,0.0000407769,0.3110652],"genre_scores_gemma":[0.9875697,0.002292242,0.0004445708,0.001365572,0.00003161885,0.00001778011,0.00002387485,0.00001358568,0.008240922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9697819,"threshold_uncertainty_score":0.9612535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02244158160507998,"score_gpt":0.2281310398738215,"score_spread":0.2056894582687415,"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."}}