{"id":"W3013595583","doi":"10.21125/inted.2020.2191","title":"INTROSPECTION OF PERSONALIZED AND ADAPTIVE LEARNING","year":2020,"lang":"en","type":"article","venue":"INTED proceedings","topic":"E-Learning and Knowledge Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Introspection; Computer science; Artificial intelligence; Psychology; Cognitive psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001321897,0.00007404685,0.0001160993,0.00005532896,0.00006036052,0.00006453351,0.000165605,0.00002738017,0.00001254874],"category_scores_gemma":[0.0001877184,0.00007020868,0.00002644235,0.0003186796,0.00006945941,0.0002008956,0.0002014108,0.0001796435,0.00001766701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001602863,"about_ca_system_score_gemma":0.00000787945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001066321,"about_ca_topic_score_gemma":3.091508e-7,"domain_scores_codex":[0.999414,0.000008364265,0.0001149239,0.0002339547,0.0001233059,0.0001055083],"domain_scores_gemma":[0.9996462,0.00001840547,0.00008792858,0.00002937557,0.0001582107,0.00005981575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001500844,0.00005882707,0.01060301,0.0002515611,0.0001228154,0.0000049574,0.07374239,0.00004310957,0.01934638,0.8131528,0.004392283,0.07813175],"study_design_scores_gemma":[0.001713076,0.002465269,0.003736446,0.0002588191,0.00004838866,0.00002111429,0.01583521,0.8909757,0.0172549,0.00343469,0.06371848,0.0005378759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3630629,0.0007920851,0.5063177,0.014877,0.000305615,0.0004590073,6.302091e-7,0.001211213,0.1129739],"genre_scores_gemma":[0.992624,0.00001727636,0.006666718,0.0001358449,0.00005291814,0.000004811867,2.020655e-7,0.000005510545,0.0004926691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8909326,"threshold_uncertainty_score":0.2863027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741294142607894,"score_gpt":0.2187862617067693,"score_spread":0.2013733202806904,"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."}}