{"id":"W2573938660","doi":"","title":"A Partition Tree Approach to Combine Techniques to Refine Item to Skills Q-Matrices.","year":2015,"lang":"en","type":"article","venue":"Educational Data Mining","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Partition (number theory); Tree (set theory); Artificial intelligence; Data mining; Machine learning; Mathematics; Combinatorics","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":[],"consensus_categories":[],"category_scores_codex":[0.000986403,0.0001407543,0.0001610344,0.0002769578,0.0001049083,0.0002517532,0.001372999,0.00003684383,0.000008934018],"category_scores_gemma":[0.0009587378,0.0001383141,0.00001950291,0.0007670411,0.000006830754,0.0006111324,0.0007385031,0.00009391681,0.0004459878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001498524,"about_ca_system_score_gemma":0.0002305523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001323964,"about_ca_topic_score_gemma":0.00001026895,"domain_scores_codex":[0.9983235,0.0000675683,0.0002997603,0.000613381,0.0004231687,0.0002726106],"domain_scores_gemma":[0.9982409,0.0001593604,0.00008290604,0.0009077885,0.000254334,0.0003546522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001897669,0.0006917875,0.003606233,0.00004180651,0.00003641547,0.000003138093,0.01562417,0.001097952,0.001117984,0.2128963,0.6821072,0.08275808],"study_design_scores_gemma":[0.0001034211,0.000213494,0.006241933,0.0002475754,0.000006430783,0.00002549503,0.0006415545,0.002439294,0.0009548303,0.0002523987,0.98849,0.0003835973],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02197742,0.00008657426,0.9479975,0.01193845,0.001289445,0.0006311173,0.00005388457,0.0002474054,0.01577826],"genre_scores_gemma":[0.153161,0.000001131251,0.8302818,0.001835271,0.001152343,0.0001550836,0.0003478117,0.00002073221,0.01304487],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3063828,"threshold_uncertainty_score":0.5732419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1020711713467125,"score_gpt":0.3366786190286713,"score_spread":0.2346074476819588,"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."}}