{"id":"W6968546971","doi":"10.5281/zenodo.14041778","title":"How Prepared are Ontario Community Colleges to Deliver Effective AI-related Education to Meet the Demands of Industry 4.0?","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preparedness; Workforce; Curriculum; Workforce development; Big data; Analytics; Higher education; Quality assurance; Quality (philosophy)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003889855,0.0002361477,0.000333253,0.001829033,0.01041045,0.008164894,0.00192942,0.001089928,0.01502455],"category_scores_gemma":[0.01438407,0.0003735345,0.0004151933,0.003217187,0.003094604,0.001920628,0.00378617,0.001129186,0.001735431],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09487552,"about_ca_system_score_gemma":0.3201249,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9521487,"about_ca_topic_score_gemma":0.9868275,"domain_scores_codex":[0.9925804,0.0006587451,0.0001397348,0.0003568449,0.00282951,0.003434714],"domain_scores_gemma":[0.9607387,0.002072675,0.002860458,0.0008672603,0.01316499,0.02029595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004591778,0.0004220157,0.5041918,0.0008570502,0.0001189892,0.0007574454,0.03772326,0.002429895,0.005067124,0.02138889,0.1596595,0.2669249],"study_design_scores_gemma":[0.00006508532,0.0001958792,0.5358401,0.0004601377,0.00004278029,0.0001540935,0.124091,0.001593803,0.001539312,0.00222406,0.3336145,0.0001792418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7615815,0.001251151,0.002900764,0.08819952,0.0004591767,0.000758209,0.003170388,0.0004731773,0.1412061],"genre_scores_gemma":[0.9599976,0.001035573,0.002480762,0.002545302,0.00006503081,0.0001632565,0.0009696269,0.00007192689,0.03267094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9051245,"threshold_uncertainty_score":0.6883733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975446671160972,"score_gpt":0.2653107951125101,"score_spread":0.2455563284009004,"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."}}