{"id":"W2472957144","doi":"","title":"Combining Techniques to Refine Item to Skills Q-Matrices with a Partition Tree.","year":2015,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Partition (number theory); Computer science; Tree (set theory); Data mining; Reduction (mathematics); Decision tree; Algorithm; Mathematics","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":[0.006175447,0.00170168,0.001106828,0.003535995,0.0007062336,0.001068512,0.001545337,0.001194714,0.00260346],"category_scores_gemma":[0.03566709,0.0007478964,0.001663166,0.003261992,0.0007923772,0.002422516,0.002331059,0.002148917,0.001817523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007311027,"about_ca_system_score_gemma":0.001990697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009868265,"about_ca_topic_score_gemma":0.01229412,"domain_scores_codex":[0.9958184,0.001886395,0.0003085785,0.0007099818,0.001105955,0.0001708225],"domain_scores_gemma":[0.9761677,0.015321,0.001268509,0.002901195,0.004053728,0.000287948],"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":[0.0003230456,0.000226714,0.005455339,0.0003850532,0.0002753223,0.000116452,0.0008814241,0.07269633,0.0128772,0.006669214,0.005136737,0.8949572],"study_design_scores_gemma":[0.000155078,0.0004341309,0.005216885,0.0001028438,0.0001931982,0.0003717858,0.0004145539,0.9300898,0.0166139,0.03496183,0.0113529,0.00009320332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006813237,0.0001852277,0.9908647,0.00008860613,0.00003352603,0.0001611619,0.0001114922,0.00128829,0.0004537274],"genre_scores_gemma":[0.06829826,0.0001021107,0.9299716,0.00006961386,0.00002639574,0.0002204826,0.000503675,0.0001718098,0.0006360786],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009868265,"threshold_uncertainty_score":0.03265923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583982535751945,"score_gpt":0.2431226454168868,"score_spread":0.2272828200593673,"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."}}