{"id":"W2371317906","doi":"","title":"Data Mining Technology Used in Course Selection System","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Selection (genetic algorithm); Class (philosophy); Process (computing); Data mining; Course (navigation); Association rule learning; Data science; Machine learning; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002352714,0.0001531321,0.000180075,0.0002867924,0.0002009897,0.0001854795,0.00262177,0.0001013319,0.000001353731],"category_scores_gemma":[7.389754e-7,0.0001670124,0.00002274807,0.001866156,0.00003314867,0.00046671,0.0004362905,0.0001720301,0.00009853589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007994457,"about_ca_system_score_gemma":0.00008830166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001272016,"about_ca_topic_score_gemma":0.00002206692,"domain_scores_codex":[0.9984069,0.00002264123,0.0003422176,0.0007964455,0.0001242296,0.0003076013],"domain_scores_gemma":[0.9982646,0.00004048014,0.0001121653,0.001448717,0.00006683603,0.00006719675],"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":[5.071078e-7,0.0002329903,0.0006075762,0.000008791076,0.000008782763,0.000002454833,0.0001181418,0.00006013038,0.002862594,0.06339969,0.003929084,0.9287692],"study_design_scores_gemma":[0.0006063545,0.00006376467,0.007274986,0.0000722532,0.00001847487,0.0002229042,0.00015299,0.6306242,0.00128833,0.001504127,0.3576897,0.0004818426],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002984844,0.0001067847,0.9922948,0.002985415,0.0000178108,0.0005331957,0.00004757875,0.0007039236,0.0003256078],"genre_scores_gemma":[0.1293407,0.000004763832,0.8699152,0.0001902928,0.0001066225,0.0002487598,0.0001429983,0.000009115426,0.00004158026],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9282874,"threshold_uncertainty_score":0.681057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02112766052846293,"score_gpt":0.2863705431707589,"score_spread":0.265242882642296,"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."}}