{"id":"W88024313","doi":"","title":"Fearing Prying U.S. Eyes, Canada's Colleges Crack Down On Computing.","year":2007,"lang":"en","type":"article","venue":"˜The œchronicle of higher education","topic":"Information Systems Education and Curriculum Development","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Higher education; Political science; Mathematics education; Sociology; Psychology; Economics; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006270774,0.0001265296,0.0001250854,0.000105546,0.0002882103,0.00009676554,0.0005827425,0.00004266577,0.00005763572],"category_scores_gemma":[0.000007561916,0.0001018764,0.0000338395,0.0004985921,0.00002797108,0.0002118948,0.00007729673,0.0001188266,0.00004819567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007226833,"about_ca_system_score_gemma":0.002394619,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02277292,"about_ca_topic_score_gemma":0.01309366,"domain_scores_codex":[0.9985375,0.00004549089,0.0004699232,0.0001986511,0.0004707872,0.0002776253],"domain_scores_gemma":[0.9987926,0.0001032535,0.0003200302,0.000452522,0.0002437396,0.00008778293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002539574,0.0007962338,0.01416091,0.0002674715,0.0001053582,0.000002523193,0.0153772,0.00150782,0.0005607777,0.3150104,0.4186133,0.2335725],"study_design_scores_gemma":[0.0003564494,0.00004472431,0.3804805,0.0001318524,0.000006219468,0.00001689038,0.001385167,0.001294824,0.002575476,0.0001805265,0.6132248,0.0003025981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8173795,0.001766747,0.02872517,0.01460054,0.02124477,0.001636197,0.000004857468,0.0003236526,0.1143186],"genre_scores_gemma":[0.9923871,0.000002393067,0.00174576,0.001425909,0.0002048336,0.00001192435,0.000006395286,0.000007298814,0.004208457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3663195,"threshold_uncertainty_score":0.9837345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009659234435306512,"score_gpt":0.2610901161550732,"score_spread":0.2514308817197667,"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."}}