{"id":"W6968031137","doi":"10.5281/zenodo.14958141","title":"Quantifying AI Readiness: Bridging Ontario's Community Colleges and Industry 4.0 Demands","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Workforce development; Curriculum; Benchmarking; Higher education; Strategic planning; Bridging (networking); Private sector; Public policy; Workforce planning","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004480283,0.0001349632,0.0001369757,0.0002552524,0.001617331,0.0008651224,0.0004696152,0.0001563442,0.001250652],"category_scores_gemma":[0.0001367484,0.0001590512,0.00002451839,0.0005191869,0.0001188437,0.0005475532,0.0003700246,0.001138111,0.0002553823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002406883,"about_ca_system_score_gemma":0.000006425082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002143552,"about_ca_topic_score_gemma":0.00003331819,"domain_scores_codex":[0.9990794,0.000117849,0.0002449351,0.0001438144,0.0001587169,0.0002552507],"domain_scores_gemma":[0.9993557,0.00003499578,0.00002722643,0.0002959274,0.0001861486,0.0000999742],"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":[0.0001110745,0.0003096708,0.002130285,0.001839916,0.0004845457,0.00003143555,0.01231277,0.009661526,0.003882719,0.04826622,0.6514547,0.2695152],"study_design_scores_gemma":[0.0005801526,0.00004565336,0.007342819,0.0002383769,0.0000193871,0.00006806904,0.001491657,0.002384311,0.001152819,0.0002317178,0.9862028,0.0002422667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4423687,0.00006923159,0.006971225,0.0005853326,0.0001938409,0.0002971764,0.0001007679,0.001688282,0.5477254],"genre_scores_gemma":[0.9978558,0.00001993637,0.00007379865,0.0001447579,0.00002940804,6.617457e-8,0.0002839377,0.0004004334,0.001191812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5554872,"threshold_uncertainty_score":0.9996824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04827550621992382,"score_gpt":0.2589420831489159,"score_spread":0.2106665769289921,"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."}}