{"id":"W2033764444","doi":"10.1145/381234.381246","title":"Designing intelligent tutoring systems","year":2001,"lang":"en","type":"article","venue":"ACM SIGCUE Outlook","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; TUTOR; Architecture; Human–computer interaction; Intelligent decision support system; Intelligent tutoring system; Interface (matter); Curriculum; Multimedia; Software engineering; Artificial intelligence","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":[0.001825479,0.0005947871,0.0006529404,0.0006945563,0.0006361918,0.002273265,0.001499655,0.001605969,0.003400613],"category_scores_gemma":[0.004849076,0.0006204504,0.000415275,0.0004287192,0.0008737943,0.002463328,0.00165828,0.000920329,0.001907136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007622717,"about_ca_system_score_gemma":0.0009283808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001026725,"about_ca_topic_score_gemma":0.00114911,"domain_scores_codex":[0.998694,0.0005055261,0.0001135059,0.000255294,0.000282422,0.0001493248],"domain_scores_gemma":[0.9991093,0.0003840672,0.00006539894,0.0001008841,0.0002551609,0.00008524328],"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":[0.0001609772,0.0001746145,0.004261574,0.001401401,0.0001452688,0.0006174686,0.002314172,0.1797153,0.04059864,0.182134,0.01091337,0.5775632],"study_design_scores_gemma":[0.0001602319,0.0004971333,0.001591626,0.0003744603,0.0001931645,0.0005888155,0.0009310539,0.6389008,0.03399453,0.1216114,0.2010617,0.00009525294],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01752147,0.001162874,0.9678977,0.0004858999,0.0001101396,0.0004758026,0.00005985012,0.002222857,0.01006342],"genre_scores_gemma":[0.2240409,0.001566053,0.7661405,0.0002845046,0.0001148697,0.0006409323,0.0002418769,0.0002315305,0.006738958],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003400613,"threshold_uncertainty_score":0.0113762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04199488165992046,"score_gpt":0.2634949553067589,"score_spread":0.2215000736468384,"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."}}