{"id":"W7101129696","doi":"","title":"LSAC RESEARCH REPORT SERIES � Item Response Theory Parameter Estimation with Response Times as Collateral Information","year":2006,"lang":"en","type":"article","venue":"","topic":"Survey Sampling and Estimation Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Discretion; Government (linguistics); Estimation; Collateral; Agency (philosophy); Series (stratigraphy); Item response theory; Accreditation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07180206,0.002167026,0.002471926,0.008215387,0.00282495,0.003385464,0.004467515,0.002527383,0.06881249],"category_scores_gemma":[0.2969055,0.002870412,0.003069981,0.01588232,0.001278228,0.005443796,0.002470882,0.004075023,0.04125414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003629896,"about_ca_system_score_gemma":0.01537117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03493569,"about_ca_topic_score_gemma":0.03394878,"domain_scores_codex":[0.9160166,0.05206211,0.006292952,0.003883854,0.0206377,0.001106779],"domain_scores_gemma":[0.6067029,0.1951682,0.01584287,0.05258394,0.1273463,0.0023557],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007073966,0.002114884,0.0647383,0.002244464,0.0007666015,0.0001018384,0.002019642,0.006062793,0.0006162049,0.02700415,0.5115473,0.3820764],"study_design_scores_gemma":[0.001977355,0.002721835,0.3576177,0.002542936,0.001510204,0.0005621693,0.002955715,0.03008832,0.004526427,0.03952239,0.5553781,0.0005968192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06730134,0.003486483,0.5393248,0.005494822,0.002785025,0.04473011,0.1743914,0.007302778,0.1551832],"genre_scores_gemma":[0.1230428,0.003287008,0.4737272,0.00144717,0.0007972706,0.1114975,0.2126267,0.002749435,0.07082491],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9281979,"threshold_uncertainty_score":0.3797301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0656504827893746,"score_gpt":0.3912130507013917,"score_spread":0.3255625679120171,"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."}}