{"id":"W4415912674","doi":"10.1108/jeet-06-2025-0038","title":"Instructor-centered case generation with GenAI: a design-based exploration","year":2025,"lang":"en","type":"article","venue":"Journal of Ethics in Entrepreneurship and Technology","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Redeemer University; Fanshawe College","funders":"","keywords":"Personalization; Data collection; Exploratory research; Replication (statistics); Generative grammar; Cognition; Perception; Grounded theory; Cognitive load","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03150622,0.000638616,0.0004609136,0.002564937,0.001049245,0.003880145,0.003040181,0.001293155,0.004594707],"category_scores_gemma":[0.06217379,0.0005657363,0.0009244442,0.001592903,0.002128073,0.003215679,0.003768687,0.001197519,0.0007027462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002282539,"about_ca_system_score_gemma":0.0028636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00051816,"about_ca_topic_score_gemma":0.001200991,"domain_scores_codex":[0.9693504,0.02582136,0.0009225884,0.00106868,0.002294555,0.0005423705],"domain_scores_gemma":[0.9223176,0.06743266,0.001763026,0.005078015,0.002663914,0.000744729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009728695,0.00349093,0.0386178,0.005200663,0.0001451977,0.004480367,0.1601556,0.01785987,0.01241565,0.07183514,0.006178933,0.678647],"study_design_scores_gemma":[0.002472873,0.009992197,0.02406211,0.01129142,0.0006980548,0.01087121,0.16957,0.1888658,0.04452216,0.1235492,0.4136137,0.0004912778],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4464299,0.001021067,0.510961,0.001906918,0.0001412747,0.01853099,0.0005973912,0.0009078921,0.01950352],"genre_scores_gemma":[0.4109894,0.0006375455,0.5739624,0.0004349141,0.00003001627,0.01149135,0.0003109787,0.0001312995,0.002012111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03150622,"threshold_uncertainty_score":0.1666228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07168817497940164,"score_gpt":0.3224786894560258,"score_spread":0.2507905144766241,"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."}}