{"id":"W7098358292","doi":"","title":"LSAC RESEARCH REPORT SERIES � Detection of Advance Item Knowledge Using Response Times in Computer Adaptive Testing","year":2006,"lang":"en","type":"article","venue":"","topic":"Reconstructive Facial Surgery Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Agency (philosophy); Voting; Test (biology); Legal research; Association (psychology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002070632,0.0001119775,0.0003250969,0.0005323299,0.00006835275,0.000009028827,0.00004378617,0.0000946799,0.00002915269],"category_scores_gemma":[0.001014378,0.0001043636,0.00004707185,0.0009494363,0.0002683627,0.0002198743,0.00006667816,0.0002480792,0.000003310005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002777373,"about_ca_system_score_gemma":0.0002217757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007177314,"about_ca_topic_score_gemma":0.0001767874,"domain_scores_codex":[0.9983566,0.0003847004,0.0004935132,0.000285349,0.0002323845,0.0002473955],"domain_scores_gemma":[0.9978561,0.000991077,0.0001312567,0.0002240398,0.0007581836,0.00003932156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002127959,0.0001407917,0.2619154,0.00005361887,0.00001260715,0.0003462568,0.00008143971,0.00004807303,0.6923666,0.0001855694,0.00005093597,0.04267071],"study_design_scores_gemma":[0.0002366878,0.0004877602,0.351503,0.0004746203,0.000007001784,0.001080791,0.0001327794,0.004664578,0.6393455,0.001338476,0.0005991353,0.0001297224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9561939,0.0001013286,0.03317337,0.00001473591,0.00008036447,0.0005041265,0.000001557383,0.0001054174,0.009825158],"genre_scores_gemma":[0.9014657,0.000001668317,0.09754833,0.000003127397,0.00009212446,0.00002307143,0.000001419198,0.00001711926,0.0008474597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08958758,"threshold_uncertainty_score":0.4255825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08478908850025374,"score_gpt":0.3818942400081398,"score_spread":0.297105151507886,"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."}}