{"id":"W2580429269","doi":"10.1007/s11336-016-9540-y","title":"Commentaries on the Ten Most Highly Cited Psychometrika Articles from 1936 to the Present","year":2016,"lang":"en","type":"article","venue":"Psychometrika","topic":"Advanced Statistical Modeling Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Institute on Aging; National Institutes of Health; University of Southern California","keywords":"Multivariate analysis; Multivariate statistics; Psychology; Group (periodic table); Statistics; Mathematics; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0006396072,0.0002920886,0.0002571671,0.000530889,0.000368833,0.0003385701,0.00287317,0.00007268407,0.0001132079],"category_scores_gemma":[0.003329437,0.000130856,0.00008689763,0.004047354,0.0001745512,0.0002825743,0.0004548251,0.0002509883,0.0004593975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001229904,"about_ca_system_score_gemma":0.00002268481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002038185,"about_ca_topic_score_gemma":0.00004078434,"domain_scores_codex":[0.9971691,0.0002146005,0.0004436579,0.000746425,0.0008497115,0.0005764949],"domain_scores_gemma":[0.9873072,0.01000841,0.000130882,0.002162678,0.0001612741,0.000229543],"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":[0.0001079819,0.0002782485,0.00187692,0.00000247609,0.00007933899,0.000004444354,0.0004914033,0.00002778987,0.001393252,0.1388938,0.2930486,0.5637958],"study_design_scores_gemma":[0.001196707,0.0008364647,0.02906641,0.0001895937,0.00002686984,0.00000349794,0.00008941021,0.003637241,0.02234758,0.3260237,0.6157962,0.0007862735],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01439588,0.0002133395,0.8026155,0.1805973,0.0005240759,0.0005711813,0.0001307079,0.000422356,0.000529651],"genre_scores_gemma":[0.8775882,0.0001165115,0.1080483,0.01346406,0.0002410883,0.0002151783,0.000004371796,0.00003166078,0.0002906729],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8631923,"threshold_uncertainty_score":0.5904778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04779075262595107,"score_gpt":0.3027227958159134,"score_spread":0.2549320431899624,"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."}}