{"id":"W2030349076","doi":"10.1348/000711005x66770","title":"Bootstrap scree tests: A Monte Carlo simulation and applications to published data","year":2006,"lang":"en","type":"article","venue":"British Journal of Mathematical and Statistical Psychology","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Alberta Advanced Education","funders":"","keywords":"Parametric statistics; Statistics; Statistical hypothesis testing; Econometrics; Monte Carlo method; Eigenvalues and eigenvectors; Nonparametric statistics; Mathematics; Principal component analysis; Goodness of fit; Computer science","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":[0.001117368,0.0001793538,0.0006091012,0.00009270786,0.0001215358,0.0001545334,0.0002933134,0.0001249689,0.00015795],"category_scores_gemma":[0.00458053,0.0001667152,0.00003488831,0.0001356881,0.000297075,0.0002529786,0.0001461541,0.0003588604,0.00000605013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000123976,"about_ca_system_score_gemma":0.00002341674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001277824,"about_ca_topic_score_gemma":0.00002687705,"domain_scores_codex":[0.9977215,0.0001721741,0.001034341,0.0004326471,0.0003142429,0.0003251275],"domain_scores_gemma":[0.9948506,0.00394322,0.0002363441,0.0003608141,0.0002405025,0.0003685073],"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":[0.0001089107,0.000597986,0.00004568534,0.0002192889,0.00004907809,0.0002253453,0.00003676695,0.0001253914,0.00005857851,0.7655237,0.01466478,0.2183445],"study_design_scores_gemma":[0.0007704309,0.0002200069,0.002481632,0.0001192422,0.000100281,0.001490304,0.00003320359,0.01118358,9.801537e-7,0.9798911,0.003521596,0.0001876543],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003968447,0.0003897751,0.9923837,0.0006829096,0.00004314963,0.0003570146,0.0005008126,0.00002349856,0.00165072],"genre_scores_gemma":[0.1827473,0.00004620891,0.8165381,0.0002868228,0.0002094628,0.0000177395,0.000009338545,0.00002777485,0.0001172639],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2181568,"threshold_uncertainty_score":0.6798447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.199457742686795,"score_gpt":0.4912955240526531,"score_spread":0.2918377813658581,"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."}}