{"id":"W4312707056","doi":"10.1007/978-3-030-95864-0_11","title":"Chapter 11: Factor Analysis","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; McGill University","funders":"","keywords":"Statistic; Factor (programming language); Statistics; Maximum likelihood; Mathematics; Econometrics; Set (abstract data type); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002355277,0.001447188,0.000733769,0.00231208,0.001133624,0.00366835,0.001036372,0.000975251,0.07869755],"category_scores_gemma":[0.007725472,0.0004815946,0.0007082877,0.003884414,0.001011143,0.002149622,0.0008948164,0.002084149,0.03422995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157156,"about_ca_system_score_gemma":0.001843807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00207994,"about_ca_topic_score_gemma":0.002633399,"domain_scores_codex":[0.9983949,0.0005328167,0.00006447892,0.0002509188,0.0007030532,0.00005375226],"domain_scores_gemma":[0.9972578,0.001479963,0.00009522452,0.0002642957,0.0008381609,0.00006462402],"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":[0.00002979116,0.00006932449,0.000613716,0.001101719,0.00005412756,0.0001275846,0.001049188,0.001702111,0.0007952019,0.2098496,0.3633268,0.4212807],"study_design_scores_gemma":[0.000006490338,0.00002612597,0.001245966,0.001022154,0.000023392,0.0002105714,0.000339401,0.001711442,0.0008801747,0.1411019,0.8534055,0.00002691579],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.003714896,0.05660426,0.3303861,0.01427888,0.005300238,0.0008984494,0.003858617,0.002187894,0.5827706],"genre_scores_gemma":[0.05872943,0.08235064,0.2985362,0.002395069,0.00343959,0.001332866,0.006528894,0.001804271,0.5448831],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07869755,"threshold_uncertainty_score":0.2632695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1791106566844218,"score_gpt":0.3788089147836071,"score_spread":0.1996982580991853,"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."}}