{"id":"W33388808","doi":"10.55016/ojs/ajer.v49i3.54983","title":"The Jackknife and Multilevel Modeling: A New Application of an Old Trick","year":2003,"lang":"en","type":"article","venue":"Alberta Journal of Educational Research","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Jackknife resampling; Multilevel model; Psychology; Statistics; Mathematics education; Econometrics; Mathematics; Estimator","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01535655,0.00006854953,0.0001856601,0.000572131,0.0002893515,0.0001570365,0.0008116746,0.00005014797,0.0004388278],"category_scores_gemma":[0.5160499,0.00003922066,0.00006322261,0.001312146,0.0001356171,0.0002664014,0.00005256352,0.0003062184,0.00002034346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000363094,"about_ca_system_score_gemma":0.000798017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007483836,"about_ca_topic_score_gemma":0.00009506803,"domain_scores_codex":[0.9962078,0.0009445353,0.000816724,0.0002093992,0.00158739,0.0002341133],"domain_scores_gemma":[0.7194292,0.2776813,0.0004597714,0.000416423,0.001732818,0.0002805566],"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":[0.0003433484,0.0006621414,0.1566435,0.00001498562,0.00009092317,4.402871e-7,0.001891533,0.003504521,0.001501934,0.2760235,0.01892488,0.5403983],"study_design_scores_gemma":[0.001382809,0.0006506257,0.1591525,0.00004930181,0.00002235632,0.0002733501,0.004301196,0.08018582,0.0005039636,0.6868382,0.06642118,0.0002186355],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745867,0.001650984,0.005783826,0.00616854,0.0002445476,0.0001549809,8.514993e-7,3.223032e-7,0.01140929],"genre_scores_gemma":[0.9783357,0.0001713715,0.01123988,0.00003632747,0.0001846156,0.000004555146,4.000662e-7,0.000006251778,0.01002095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5401797,"threshold_uncertainty_score":0.5322303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7027471767946046,"score_gpt":0.594211678522578,"score_spread":0.1085354982720267,"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."}}