{"id":"W6911332935","doi":"10.5281/zenodo.11195143","title":"AI FOR EDUCATIONAL CONTENT CREATION","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":"Bell (Canada)","funders":"","keywords":"Field (mathematics); Variety (cybernetics); Scalability; Process (computing); Test (biology); Personalized learning; Educational technology","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":[0.007856536,0.001005447,0.0006873954,0.004011505,0.002788909,0.01249517,0.003092491,0.004798798,0.06076477],"category_scores_gemma":[0.02986099,0.0006857213,0.001393719,0.003261274,0.005029626,0.01266029,0.006985292,0.004605128,0.03274019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003099161,"about_ca_system_score_gemma":0.004499781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001544383,"about_ca_topic_score_gemma":0.001308455,"domain_scores_codex":[0.9897056,0.004451611,0.0006435559,0.001208412,0.003477902,0.0005128852],"domain_scores_gemma":[0.9815593,0.009731454,0.0005888426,0.004252448,0.002737435,0.001130578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004472654,0.000050685,0.0003346857,0.0008467197,0.00003004715,0.0001989786,0.0007068127,0.001506412,0.001317978,0.6289375,0.1011631,0.2648624],"study_design_scores_gemma":[0.00001834033,0.00002584864,0.0001635457,0.0004897487,0.0000142818,0.0003626258,0.0002333266,0.00413585,0.00111394,0.2523433,0.7410648,0.00003448295],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002288352,0.02030587,0.478551,0.04839085,0.006244719,0.0009982283,0.001129996,0.007995394,0.4340957],"genre_scores_gemma":[0.1006695,0.02269476,0.6332821,0.0113266,0.004770913,0.002186807,0.002914428,0.002988106,0.2191669],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06076477,"threshold_uncertainty_score":0.2032784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0493575079489755,"score_gpt":0.2999630664685206,"score_spread":0.2506055585195451,"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."}}