{"id":"W172250868","doi":"10.1007/978-3-642-30950-2_26","title":"Automating Next-Step Hints Generation Using ASTUS","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001362737,0.0005272008,0.0004948144,0.0006626376,0.0005273002,0.001065569,0.001891764,0.0003072312,0.0000264323],"category_scores_gemma":[0.00009118463,0.0004935571,0.000138274,0.0003983325,0.000194812,0.001386413,0.001034349,0.000819038,0.00009396582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006171177,"about_ca_system_score_gemma":0.0003502526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006676915,"about_ca_topic_score_gemma":0.00002068794,"domain_scores_codex":[0.9961976,0.00007109778,0.0006398429,0.001217945,0.001040278,0.000833251],"domain_scores_gemma":[0.997876,0.0002049067,0.0004996377,0.0009664142,0.0002748287,0.0001782401],"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":[9.001313e-7,0.00001599406,0.0001525703,0.00004128423,0.00001419235,0.00003734296,0.001135444,0.08363388,0.003525265,0.05391116,0.000007863027,0.8575241],"study_design_scores_gemma":[0.00009325571,0.00005855829,0.00008966383,0.00057313,0.000007818208,0.0001091817,2.900736e-7,0.9902967,0.00183566,0.002199911,0.004109351,0.0006265477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006894875,0.0009794716,0.9915571,0.00008627787,0.005121632,0.0003053764,0.000001073017,0.000221818,0.001037749],"genre_scores_gemma":[0.2379432,0.00001889605,0.7569866,0.0005246573,0.003375549,0.000005570791,0.000004014882,0.00005861309,0.001082845],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9066628,"threshold_uncertainty_score":0.9999714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05864968123343533,"score_gpt":0.2726747486201886,"score_spread":0.2140250673867533,"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."}}