{"id":"W2273219704","doi":"","title":"Using fuzzy techniques for students' evaluation","year":2010,"lang":"en","type":"article","venue":"Annual Conference on Computers","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Fuzzy logic; Competence (human resources); Java; Process (computing); Artificial intelligence; Domain (mathematical analysis); Programming language; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005949457,0.0001215707,0.0001101293,0.0001368705,0.0001596993,0.0001630313,0.001061777,0.0001017972,0.00001349084],"category_scores_gemma":[0.00004233445,0.0001164143,0.00004344217,0.0001503456,0.0000591786,0.0003496828,0.0001663053,0.0002100487,0.00001051766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003921435,"about_ca_system_score_gemma":0.0002447041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009620816,"about_ca_topic_score_gemma":0.000005289793,"domain_scores_codex":[0.9988952,0.00004168847,0.0001582644,0.000351437,0.0003597005,0.0001937622],"domain_scores_gemma":[0.9988543,0.0001087765,0.00008922456,0.0003954708,0.0004997138,0.00005256436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006148,0.0002301532,0.0009265661,0.000005596294,0.00002419763,0.000001402439,0.0006191381,0.00004335157,0.002436598,0.8068892,0.002047793,0.1867699],"study_design_scores_gemma":[0.001733871,0.001583334,0.01956984,0.0002371095,0.00006605755,0.00006632215,0.001082013,0.4954561,0.03712514,0.4311023,0.01055942,0.001418498],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1652252,0.000004549268,0.8280832,0.003007077,0.001484056,0.0005750969,0.00000629189,0.0002738497,0.00134075],"genre_scores_gemma":[0.7560223,0.00000127623,0.2433353,0.0004443697,0.00009216897,0.00007186947,0.000006001163,0.000004396292,0.00002235647],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5907971,"threshold_uncertainty_score":0.4747236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08575710544690808,"score_gpt":0.4344855980316968,"score_spread":0.3487284925847887,"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."}}