{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007097693,0.00004126009,0.00007798529,0.0001068313,0.0004719311,0.00004716383,0.0003529685,0.00003543291,0.00005332425],"category_scores_gemma":[0.00008864329,0.00003126242,0.00002180075,0.00005689734,0.002289932,0.0005977081,0.00002572916,0.0001612627,6.005549e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002556013,"about_ca_system_score_gemma":0.001324929,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2891669,"about_ca_topic_score_gemma":0.5795607,"domain_scores_codex":[0.9994233,0.0001671343,0.0001911294,0.00002579554,0.0001079808,0.00008461107],"domain_scores_gemma":[0.9992063,0.00010624,0.0002763768,0.0001354639,0.0001546519,0.0001209775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000019077,0.000007590288,0.03008947,0.000002405056,0.00001973086,7.502845e-7,0.8848011,0.000001648507,9.735918e-7,0.08226515,0.0001646658,0.002627468],"study_design_scores_gemma":[0.001174492,0.0005860231,0.2350172,0.0003686492,0.0001081659,0.00003114284,0.5846483,0.0001360858,0.00002622194,0.01568432,0.1619824,0.0002370869],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865108,0.0002387599,0.0002710854,0.000918989,0.00007693964,0.00009644809,0.000003369119,0.000002085091,0.0118816],"genre_scores_gemma":[0.9994313,0.00007114959,0.0002934443,0.00006126968,0.00001801013,3.271079e-7,9.364881e-7,0.000001699691,0.0001218815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3001528,"threshold_uncertainty_score":0.8437349,"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."}}