{"id":"W4386361988","doi":"10.1371/journal.pone.0290728","title":"Impact of factor rotation on Q-methodology analysis","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Q Methodology Applications","field":"Decision Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Varimax rotation; Rotation (mathematics); Factor (programming language); Statistics; Euler's rotation theorem; Factor analysis; Mathematics; Computer science; Artificial intelligence; Psychometrics","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":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004216817,0.00008748246,0.0004995578,0.001328885,0.00006437667,0.00001778263,0.0004525963,0.0001063567,0.001515873],"category_scores_gemma":[0.01994799,0.0000645507,0.0002595395,0.005573174,0.00009498304,0.00007379104,0.00006179244,0.0001205022,0.001653476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003470012,"about_ca_system_score_gemma":0.00004820953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000531995,"about_ca_topic_score_gemma":0.00002850091,"domain_scores_codex":[0.9967245,0.001453857,0.0004900649,0.0003729833,0.0007757432,0.0001828639],"domain_scores_gemma":[0.9823477,0.01616962,0.0003014482,0.0007687822,0.0003440933,0.00006837104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001018448,0.0007596132,0.7427172,0.000004834431,0.002360875,0.000001732909,0.001133198,0.003038927,0.2333265,0.002003956,0.000949424,0.01360186],"study_design_scores_gemma":[0.0001032368,0.0001411964,0.9531707,0.000002648567,0.0002183288,1.308243e-7,0.00007111159,0.003526837,0.01580931,0.02689014,0.000006282842,0.00006008089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683518,0.000006384879,0.02999486,0.0005234121,0.00002219672,0.0001695542,0.00007701477,0.00006799303,0.0007868148],"genre_scores_gemma":[0.9484267,0.000007387042,0.05053886,0.00003792693,0.00002969793,0.0000387705,0.00002006191,0.000007207298,0.0008934436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2175172,"threshold_uncertainty_score":0.9993969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8021849659528161,"score_gpt":0.5559115362828243,"score_spread":0.2462734296699918,"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."}}