{"id":"W2151713426","doi":"10.1111/j.1745-3984.2007.00052.x","title":"Using the Attribute Hierarchy Method to Identify and Interpret Cognitive Skills that Produce Group Differences","year":2008,"lang":"en","type":"article","venue":"Journal of Educational Measurement","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cognition; Set (abstract data type); Task (project management); Hierarchy; Test (biology); Psychology; Group (periodic table); Sample (material); Artificial intelligence; Natural language processing; Computer science; Cognitive psychology; Machine learning","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":[0.01128878,0.0008653685,0.0007057085,0.004535574,0.0006938365,0.001456446,0.0006099587,0.0006924932,0.003253415],"category_scores_gemma":[0.0445303,0.0001861182,0.001002531,0.002644661,0.001190209,0.001955598,0.001360408,0.001210931,0.0003888903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005730412,"about_ca_system_score_gemma":0.0007106799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001719923,"about_ca_topic_score_gemma":0.001011675,"domain_scores_codex":[0.9945158,0.002940902,0.0003310493,0.0005740871,0.001433695,0.0002044591],"domain_scores_gemma":[0.960232,0.03229464,0.002560238,0.002393441,0.002076738,0.0004430222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00111677,0.0008162144,0.4001149,0.0004691407,0.00120562,0.0003757548,0.008261373,0.0162355,0.01869079,0.04326965,0.002431099,0.5070133],"study_design_scores_gemma":[0.0003423849,0.0023182,0.5312116,0.0002804834,0.0005271959,0.001203661,0.004940471,0.235763,0.01637016,0.2003069,0.006448251,0.0002876874],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.378914,0.000239889,0.6132509,0.0003908694,0.0001194613,0.0004981799,0.0004610039,0.0006888352,0.005436854],"genre_scores_gemma":[0.8218656,0.00008190877,0.1765932,0.0001125893,0.00004095327,0.0004684333,0.0002750712,0.00007128829,0.0004909451],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01128878,"threshold_uncertainty_score":0.0597015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5348286662951659,"score_gpt":0.5307739533614363,"score_spread":0.00405471293372961,"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."}}