{"id":"W2921705751","doi":"10.29173/cais1047","title":"The Future of Information Science E ducatio n in Canada: Issues and D iscussion","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Higher Education Learning Practices","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Bachelor; Library science; Information resource; Key (lock); Resource (disambiguation); Information science; Political science; Engineering management; Knowledge management; Sociology; Engineering ethics; Engineering; 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":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001888562,0.0000924054,0.000162082,0.0001001652,0.0004953384,0.001173598,0.001170288,0.0000566495,0.00002041777],"category_scores_gemma":[0.02100625,0.00005882919,0.00002207314,0.0008123132,0.001628282,0.01289529,0.000193192,0.0001648939,0.000001109079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001639823,"about_ca_system_score_gemma":0.004154414,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3261064,"about_ca_topic_score_gemma":0.1645938,"domain_scores_codex":[0.9985753,0.00004566052,0.0003443832,0.0001274599,0.0006517867,0.000255415],"domain_scores_gemma":[0.9699034,0.0002155862,0.0008635585,0.0001205986,0.02880879,0.0000880659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004840715,0.00002951983,0.5219072,0.00007309273,0.00001060777,3.145341e-8,0.3938163,8.2872e-7,0.001224859,0.0630003,0.00333926,0.01654969],"study_design_scores_gemma":[0.00009507839,0.00004937786,0.4563016,0.0000963019,0.00000997813,0.000001179769,0.09201277,0.00002812138,0.004006394,0.0008797702,0.4464386,0.00008083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650167,0.0001797924,7.804477e-7,0.02443963,0.0003537896,0.0001830497,0.00000877866,0.000006999195,0.009810463],"genre_scores_gemma":[0.99887,0.0003677843,0.0001666788,0.0001000771,0.0001322702,0.000007927773,3.976779e-7,0.000003574245,0.0003513377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4430993,"threshold_uncertainty_score":0.9998633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424334544212922,"score_gpt":0.2956458253652814,"score_spread":0.2814024799231522,"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."}}