{"id":"W24687116","doi":"","title":"Tradeoff analysis between knowledge assessment approaches","year":2005,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Machine learning; Bayesian network; Reliability (semiconductor); Bayesian probability; Artificial intelligence; Process (computing); Data mining; Empirical research; Data science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05834366,0.001291423,0.001416608,0.006431042,0.000973478,0.007624593,0.003080028,0.003914611,0.004072446],"category_scores_gemma":[0.3011041,0.0009775534,0.001418346,0.003498982,0.001451857,0.00967365,0.005699308,0.002907801,0.0009947025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004597406,"about_ca_system_score_gemma":0.00262479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002207655,"about_ca_topic_score_gemma":0.001812996,"domain_scores_codex":[0.9400288,0.03821113,0.00238312,0.002966604,0.01499402,0.001416339],"domain_scores_gemma":[0.5311456,0.4320732,0.005484801,0.01429992,0.01422314,0.002773363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003859484,0.001182689,0.02047548,0.001032161,0.0007755037,0.0002236562,0.002894029,0.1917618,0.003454776,0.1114345,0.003166388,0.6597396],"study_design_scores_gemma":[0.0003974575,0.0015029,0.02322741,0.0005113618,0.000536619,0.0004586747,0.001645191,0.773864,0.006130107,0.1831633,0.008325622,0.0002373873],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4210701,0.009659516,0.5014614,0.006609991,0.0002028706,0.001542013,0.0009548393,0.001330406,0.05716883],"genre_scores_gemma":[0.8631547,0.0009432359,0.1315714,0.0003360662,0.00006529359,0.0006515681,0.0003841468,0.0001389326,0.002754658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05834366,"threshold_uncertainty_score":0.3085545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03662885544886259,"score_gpt":0.2689272492866178,"score_spread":0.2322983938377552,"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."}}