{"id":"W1953764601","doi":"","title":"The Effect of Removing Examinees with Low Motivation on Item Response Data Calibration","year":2015,"lang":"en","type":"article","venue":"Knowledge Commons (Lakehead University)","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Psychology; Item response theory; Test (biology); Expectancy theory; Scale (ratio); Calibration; Statistics; Principal component analysis; Social psychology; Developmental psychology; Psychometrics; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009468969,0.0001503942,0.0002869565,0.0007818018,0.0003436748,0.0001173286,0.001795472,0.00007651044,0.000006711084],"category_scores_gemma":[0.1511789,0.00008834406,0.00004418182,0.003831986,0.0002007273,0.0004895201,0.0005179585,0.0001848479,0.00001391712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000097734,"about_ca_system_score_gemma":0.0001456986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002213213,"about_ca_topic_score_gemma":0.002091565,"domain_scores_codex":[0.9949911,0.003449587,0.0003057235,0.0004362605,0.0006070367,0.0002103366],"domain_scores_gemma":[0.8420342,0.1551222,0.0003774624,0.001894061,0.0004241717,0.0001479564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006392332,0.0001166657,0.819921,0.00001898894,0.00005535159,0.00003999676,0.0008946371,0.0004505255,0.000570713,0.002706083,0.01619114,0.1526425],"study_design_scores_gemma":[0.003237718,0.003399131,0.8167552,0.0002749626,0.00006582405,0.00001742201,0.001908603,0.01291028,0.002846138,0.0005063633,0.1576856,0.0003927804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608131,0.0001308128,0.01042082,0.0003578062,0.0002995371,0.0002175413,0.00001768403,0.00005950003,0.0276832],"genre_scores_gemma":[0.9967347,5.708175e-7,0.0002379987,0.000001516212,0.00004033684,4.617551e-7,0.00001027749,0.000008864993,0.002965295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1529569,"threshold_uncertainty_score":0.8559711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3629131663266415,"score_gpt":0.3853655467700813,"score_spread":0.02245238044343983,"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."}}