{"id":"W2109775785","doi":"","title":"Program announcement Communication, Culture and Information Technology (CCIT): University of Toronto and Sheridan College","year":2002,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Relevance (law); Key (lock); Telecommunications; Communications system; Information and Communications Technology; Engineering; Organizational communication; Sociology; Engineering management; Library science; Computer science; Knowledge management; Political science; World Wide Web; Computer security","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":[0.000102828,0.00004855456,0.00006231444,0.00005284121,0.0001601473,0.00003308015,0.0002460426,0.00006484536,0.00002351957],"category_scores_gemma":[0.00002692547,0.00005372737,0.000005880293,0.0001345668,0.0000839648,0.0003914034,0.00004894513,0.00006829562,0.000001934131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001261178,"about_ca_system_score_gemma":0.00007811948,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007563184,"about_ca_topic_score_gemma":0.009129299,"domain_scores_codex":[0.9996693,0.00003323001,0.00007643741,0.0000707935,0.00005051166,0.00009977532],"domain_scores_gemma":[0.9994562,0.00001291308,0.00004576604,0.0002552499,0.0000989422,0.0001308723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002263251,0.0001126284,0.004538144,0.00009207745,0.00004401042,0.000004571949,0.03653042,0.00004478055,0.0003892194,0.3720793,0.0448421,0.5413204],"study_design_scores_gemma":[0.0002844379,0.00009977989,0.02590813,0.00001991268,0.00001349026,0.00001768747,0.003261652,0.02174596,0.000009172738,0.0006067494,0.9478788,0.0001542544],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1851829,0.00977141,0.6846165,0.02920382,0.0009220278,0.002312749,0.0003236874,0.0007638129,0.08690307],"genre_scores_gemma":[0.6383227,0.0005983309,0.3602584,0.0002460342,0.00000627089,0.000001865177,0.000007391471,0.000002153705,0.0005568062],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9030367,"threshold_uncertainty_score":0.9990456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00931698226849591,"score_gpt":0.2285962869990465,"score_spread":0.2192793047305506,"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."}}