{"id":"W119860108","doi":"10.1007/1-4020-3051-7_8","title":"Generating Tailored Worked-Out Problem Solutions to Help Students Learn from Examples","year":2005,"lang":"en","type":"book-chapter","venue":"Text, speech and language technology","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mathematics education; Computer science; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001960034,0.0005670334,0.0006664658,0.0006227571,0.0003054933,0.00009305037,0.0006087313,0.001083896,0.006911785],"category_scores_gemma":[0.00009693154,0.0005492346,0.00009836841,0.0001430489,0.0002944713,0.00005411763,0.0005674221,0.001200219,0.002909951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006241582,"about_ca_system_score_gemma":0.00004760318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003008489,"about_ca_topic_score_gemma":0.001602906,"domain_scores_codex":[0.9973922,0.00004868171,0.0004742387,0.001061743,0.000300732,0.0007224042],"domain_scores_gemma":[0.998786,0.0001090377,0.0002664135,0.0005461373,0.0001315902,0.0001608246],"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":[0.0001129884,0.0001480707,0.0005803723,0.00003732469,0.0004483879,0.000390273,0.005151298,0.00000251928,0.001981071,0.01485889,0.005776928,0.9705119],"study_design_scores_gemma":[0.002613199,0.001955795,0.0007089043,0.001176467,0.0006007937,0.0003567596,0.01310492,0.00001253889,0.001052059,0.01792611,0.957791,0.002701456],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3525369,0.06728724,0.003137516,0.004219532,0.000929888,0.002664461,0.0005213656,0.003851784,0.5648513],"genre_scores_gemma":[0.124353,0.0002182387,0.007024399,0.001309573,0.001141593,0.0002049975,0.0003036938,0.0001927227,0.8652518],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9678105,"threshold_uncertainty_score":0.9996959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0336445800786468,"score_gpt":0.3271503928621065,"score_spread":0.2935058127834597,"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."}}