{"id":"W3109270612","doi":"10.18280/ria.340511","title":"Fuzzy Cluster Analysis on Influencing Factors of College Student Scores","year":2020,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Evaluation Methods in Various Fields","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Principal component analysis; Factor (programming language); Fuzzy logic; Mathematics education; Psychology; Cluster (spacecraft); Quality (philosophy); Variance (accounting); Initialization; Computer science; The Internet; Affect (linguistics); Factor analysis; Statistics; Artificial intelligence; Machine learning; Mathematics; World Wide Web","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":[0.003236708,0.0005532894,0.0005020222,0.005541636,0.001127009,0.002073922,0.0004141584,0.0003919752,0.001943196],"category_scores_gemma":[0.01230478,0.0001431566,0.001179206,0.004514609,0.0006465874,0.0004918742,0.0006556373,0.0004783782,0.0002156063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261536,"about_ca_system_score_gemma":0.001996503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02250838,"about_ca_topic_score_gemma":0.01358356,"domain_scores_codex":[0.9973621,0.0009176389,0.0001734502,0.000319104,0.0009377639,0.0002899325],"domain_scores_gemma":[0.9927096,0.003563245,0.0005202076,0.0003049333,0.0024828,0.0004191651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001310492,0.0004004303,0.7195354,0.0002648349,0.0009143276,0.0005149996,0.005117368,0.02361659,0.005243986,0.009494153,0.003436748,0.2301507],"study_design_scores_gemma":[0.00004793634,0.0004470078,0.7966267,0.0001120491,0.000532561,0.0002504514,0.009869956,0.1753822,0.00513728,0.007014384,0.004380354,0.0001991615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605433,0.0001932369,0.03207738,0.0002291436,0.00004487478,0.0002325828,0.0003655888,0.0001302605,0.006183584],"genre_scores_gemma":[0.9928174,0.00005531111,0.006435696,0.000007965882,0.000008826101,0.00004118099,0.0001827596,0.000008697672,0.0004421449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02250838,"threshold_uncertainty_score":0.04475474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07369247872205018,"score_gpt":0.3456667832713938,"score_spread":0.2719743045493437,"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."}}