{"id":"W1493897129","doi":"10.1007/11766247_47","title":"MITS: A Mixed-Initiative Intelligent Tutoring System for Sudoku","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; 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":[0.0003002821,0.000521509,0.0007007906,0.000351957,0.0007980829,0.0006983282,0.0005473376,0.0005286802,0.007163036],"category_scores_gemma":[0.0008313939,0.0002319983,0.0001949692,0.0003251595,0.0001302052,0.00117243,0.001740795,0.0004120857,0.002179625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002067705,"about_ca_system_score_gemma":0.0006670932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001348992,"about_ca_topic_score_gemma":0.003123885,"domain_scores_codex":[0.999846,0.00004392733,0.00001497248,0.00003933057,0.00002968878,0.00002602693],"domain_scores_gemma":[0.9998153,0.00005130734,0.00001267718,0.00002103557,0.00004301611,0.00005672368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002659247,0.0009081675,0.005446659,0.0006919689,0.0001114361,0.0009994284,0.003101048,0.004539883,0.1611579,0.003240688,0.062989,0.7541547],"study_design_scores_gemma":[0.001368305,0.004084782,0.0291889,0.0003047612,0.0009728341,0.003514797,0.004425928,0.2244916,0.2469859,0.00753222,0.4766382,0.0004917818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5411646,0.001863493,0.3256046,0.0005696172,0.0005823534,0.0008536546,0.003269211,0.09132961,0.03476289],"genre_scores_gemma":[0.619437,0.0007152222,0.3274466,0.0003513575,0.00009788197,0.0008946911,0.005060303,0.001582979,0.0444139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007163036,"threshold_uncertainty_score":0.0239628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04549147380800346,"score_gpt":0.3095918798242047,"score_spread":0.2641004060162013,"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."}}