{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001446796,0.0006531196,0.0008021165,0.004367855,0.001060503,0.002942276,0.001113888,0.0007906378,0.008741619],"category_scores_gemma":[0.005835088,0.0003930932,0.0005557553,0.005344898,0.0002272238,0.001797011,0.000689022,0.0008458924,0.008292108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009087374,"about_ca_system_score_gemma":0.00136551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002669101,"about_ca_topic_score_gemma":0.001250268,"domain_scores_codex":[0.9974452,0.0002809547,0.0004176181,0.0005733775,0.001114717,0.0001680928],"domain_scores_gemma":[0.9977638,0.0004585589,0.0001763003,0.0003027776,0.001184589,0.0001141174],"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":[0.0008974131,0.0006309816,0.03433713,0.001063848,0.0001819762,0.001590186,0.0006349317,0.008254016,0.03167707,0.01116976,0.08790184,0.8216609],"study_design_scores_gemma":[0.0003955224,0.0007042858,0.04828382,0.0005031364,0.0005266111,0.003536758,0.0007884535,0.1642989,0.230898,0.01198837,0.5377759,0.0003003039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1256801,0.002897498,0.734704,0.002416112,0.001276023,0.004614884,0.03913073,0.0384045,0.05087615],"genre_scores_gemma":[0.4374319,0.003021591,0.4701602,0.001071525,0.0003864734,0.00372324,0.03872313,0.0009616443,0.04452028],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008741619,"threshold_uncertainty_score":0.02924365,"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."}}