{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006574615,0.0001647968,0.000316629,0.00009751766,0.0001086396,0.00001938933,0.000461984,0.00008881524,0.003404152],"category_scores_gemma":[0.0005002971,0.0001493457,0.0001904457,0.001464818,0.0001455167,0.0001047524,0.0002226601,0.0001987562,0.0006278993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009702521,"about_ca_system_score_gemma":0.00001315176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000126096,"about_ca_topic_score_gemma":0.00007072807,"domain_scores_codex":[0.998041,0.0001979481,0.0005810377,0.0004487881,0.0004972888,0.0002339499],"domain_scores_gemma":[0.9987412,0.0004470872,0.0002078325,0.0004337217,0.00002955688,0.0001405795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000269194,0.0001078268,0.2078498,0.00001818812,0.00008719921,0.000003129421,0.008824062,0.7718733,0.00733314,0.001209351,0.0005628655,0.002104199],"study_design_scores_gemma":[0.0001771755,0.001060232,0.1360611,0.0000826649,0.0006171214,0.000002017576,0.01050286,0.3879062,0.4574081,0.003393875,0.001935992,0.0008526454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449838,0.00002034245,0.0385694,0.0007749939,0.0001050408,0.0002981331,0.00001282458,0.00003879658,0.01519667],"genre_scores_gemma":[0.9939124,0.00001189313,0.004809557,0.0008373013,0.00002883044,0.000009844387,0.000003617403,0.00001284044,0.0003737444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4500749,"threshold_uncertainty_score":0.9975069,"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."}}