{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001347279,0.0003782706,0.0005807613,0.0008792568,0.0003704019,0.0004876848,0.001393735,0.0002319131,0.00002233986],"category_scores_gemma":[0.00004428739,0.0003631979,0.0004323173,0.001709106,0.00004594347,0.0007233437,0.000367585,0.0005861795,0.00006353713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006909183,"about_ca_system_score_gemma":0.000215615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001204492,"about_ca_topic_score_gemma":0.0005562691,"domain_scores_codex":[0.9970595,0.0002890405,0.0006232745,0.0007482343,0.0004582496,0.0008217267],"domain_scores_gemma":[0.9979752,0.0001831321,0.0002735049,0.00114326,0.0000984957,0.0003263835],"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":[0.000004724448,0.0003889551,0.1218534,0.00003430143,0.0007247868,0.00001902184,0.00157044,0.02366041,0.0005066999,0.6504905,0.0006429576,0.2001038],"study_design_scores_gemma":[0.0003212732,0.0001046537,0.2149665,0.0000457417,0.0002108159,0.00002183501,0.0001443099,0.7130073,0.003959196,0.0006322588,0.06586212,0.0007239895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0249247,0.000716188,0.9659267,0.003110161,0.0001000163,0.0003638926,0.000007618413,0.0009270202,0.003923667],"genre_scores_gemma":[0.7685902,0.00001551806,0.225752,0.0001672741,0.0004278779,0.0001520227,0.00001161124,0.00002875806,0.004854753],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7436655,"threshold_uncertainty_score":0.999882,"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."}}