{"id":"W2193158494","doi":"10.1037/met0000059","title":"A flexible full-information approach to the modeling of response styles.","year":2015,"lang":"en","type":"article","venue":"Psychological Methods","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Institute of Education Sciences","keywords":"Item response theory; PsycINFO; Trait; Set (abstract data type); Computer science; Factor analysis; Statistics; Estimation; Structural equation modeling; Econometrics; Psychometrics; Psychology; Data mining; Machine learning; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04373492,0.0020844,0.001759258,0.002558127,0.0009045346,0.004357758,0.004992847,0.002764264,0.01008686],"category_scores_gemma":[0.1629523,0.002188962,0.004036611,0.003350049,0.002401322,0.006060083,0.004232711,0.004484313,0.002791886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002542995,"about_ca_system_score_gemma":0.002593379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004475128,"about_ca_topic_score_gemma":0.005083468,"domain_scores_codex":[0.953052,0.03833431,0.001525161,0.003254953,0.003275458,0.0005580378],"domain_scores_gemma":[0.8505494,0.1228176,0.006799283,0.01516315,0.003855807,0.0008147864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008095373,0.0005551032,0.02483713,0.0008009702,0.001452564,0.0007264131,0.004905696,0.2742106,0.002050739,0.3722658,0.00799463,0.3093908],"study_design_scores_gemma":[0.0001197023,0.0002243471,0.004351168,0.0001728594,0.0001693333,0.0003822227,0.000178357,0.6715987,0.0006147769,0.3159868,0.006078476,0.0001232502],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003958419,0.00009030028,0.9934255,0.000412636,0.00002130535,0.0002250078,0.00048891,0.0002873656,0.001090695],"genre_scores_gemma":[0.2529867,0.0003154072,0.7376575,0.0005179692,0.0001080397,0.002716414,0.001511932,0.0002164175,0.003969541],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04373492,"threshold_uncertainty_score":0.2312952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8157017601333325,"score_gpt":0.6109273046144487,"score_spread":0.2047744555188838,"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."}}