{"id":"W1509317141","doi":"10.1002/9781118411360.wbcla070","title":"Multifaceted Rasch Analysis for Test Evaluation","year":2013,"lang":"en","type":"other","venue":"","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Rasch model; Facet (psychology); Polytomous Rasch model; Test (biology); Task (project management); Scale (ratio); Computer science; Focus (optics); Psychology; Artificial intelligence; Machine learning; Natural language processing; Item response theory; Psychometrics; Social psychology; Developmental psychology; Engineering; Systems engineering","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":[0.07610009,0.002080909,0.00268418,0.006804557,0.001716486,0.004404636,0.001957399,0.001353383,0.01289988],"category_scores_gemma":[0.2498529,0.001026024,0.002404677,0.01216799,0.002053106,0.00391224,0.00356134,0.004694652,0.003637818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004025486,"about_ca_system_score_gemma":0.005715476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007086302,"about_ca_topic_score_gemma":0.0114106,"domain_scores_codex":[0.8820397,0.09558712,0.003060535,0.003065554,0.01566697,0.0005800787],"domain_scores_gemma":[0.7718092,0.1813761,0.007694682,0.01795779,0.02030103,0.0008611921],"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":[0.0002308187,0.000358993,0.01374952,0.00186691,0.001050518,0.0001622492,0.002694458,0.02065367,0.0006779345,0.1574964,0.04201743,0.7590412],"study_design_scores_gemma":[0.0003141288,0.001258058,0.06559983,0.005334707,0.0005082579,0.0006067418,0.004376318,0.3302903,0.003217742,0.4449091,0.143024,0.0005607818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009362377,0.004696848,0.9646531,0.001903176,0.0003409171,0.001880367,0.001431958,0.00233351,0.0133978],"genre_scores_gemma":[0.09345694,0.002743501,0.8921761,0.0003595231,0.000229481,0.005191354,0.001677244,0.0006725659,0.00349328],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07610009,"threshold_uncertainty_score":0.4024606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7058905102004684,"score_gpt":0.5619458144991976,"score_spread":0.1439446957012709,"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."}}