{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00200863,0.0004550877,0.0005220646,0.0007221217,0.0006004549,0.002532403,0.0008051259,0.0008995163,0.005709639],"category_scores_gemma":[0.01666258,0.0003198692,0.000408614,0.0005309613,0.001459253,0.004659314,0.002978923,0.001481507,0.0007612762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008095152,"about_ca_system_score_gemma":0.001023903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001440747,"about_ca_topic_score_gemma":0.001322169,"domain_scores_codex":[0.998187,0.0007539241,0.00007398063,0.0004914691,0.0003301403,0.0001635187],"domain_scores_gemma":[0.9893984,0.005314002,0.0007391429,0.002582432,0.001329007,0.0006369982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005335923,0.0003439421,0.01312184,0.000391024,0.0001764032,0.0004179065,0.00286205,0.04317572,0.008273316,0.3482369,0.01224979,0.5702176],"study_design_scores_gemma":[0.00007579825,0.0002039274,0.006947876,0.00009553284,0.0001147831,0.0003587341,0.0006468851,0.369115,0.005057628,0.5954447,0.02187288,0.00006625866],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2090065,0.002815641,0.6856152,0.004486471,0.0003877357,0.0001728944,0.0003359152,0.002863662,0.09431592],"genre_scores_gemma":[0.9619349,0.0004833716,0.02999689,0.0002911331,0.0001180391,0.00005048752,0.0001677319,0.0001380878,0.006819353],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005709639,"threshold_uncertainty_score":0.01910067,"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."}}