{"id":"W3205957043","doi":"10.1007/s11336-021-09809-7","title":"Bayesian Mixture Model of Extended Redundancy Analysis","year":2021,"lang":"en","type":"article","venue":"Psychometrika","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Ministry of Education","keywords":"Multivariate statistics; Redundancy (engineering); Bayesian probability; Covariance; Mathematics; Extant taxon; Statistics; Probabilistic logic; Statistical model; Regression analysis; Computer science; Econometrics; Data mining","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":[0.009230273,0.001453747,0.002604387,0.002533459,0.0009729901,0.002066457,0.004151078,0.002262557,0.003606647],"category_scores_gemma":[0.01660435,0.001179291,0.002493088,0.002797034,0.001958619,0.002975782,0.002361027,0.002066014,0.001173068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383946,"about_ca_system_score_gemma":0.001573436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01003071,"about_ca_topic_score_gemma":0.006131545,"domain_scores_codex":[0.9953738,0.002324006,0.0001909455,0.001051228,0.0006992654,0.0003608339],"domain_scores_gemma":[0.9937885,0.003700755,0.0006952342,0.0005853146,0.001061248,0.0001689004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003021697,0.00009307548,0.004375819,0.0002958456,0.0005410353,0.0003718055,0.0005752599,0.5379507,0.00266064,0.3832003,0.00385014,0.0657832],"study_design_scores_gemma":[0.00002419959,0.00003133793,0.0009381059,0.00002078528,0.00005746534,0.00009586252,0.00001754981,0.9357646,0.0002126659,0.06130235,0.001484381,0.00005073911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01183548,0.0005594977,0.9853051,0.000342118,0.00005042871,0.00005727355,0.0002364692,0.000209202,0.001404371],"genre_scores_gemma":[0.5903175,0.002059537,0.3886861,0.0005095563,0.0003424443,0.0009396186,0.001869132,0.0002892519,0.01498692],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01003071,"threshold_uncertainty_score":0.04881489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989891747395658,"score_gpt":0.2966759414036694,"score_spread":0.2767770239297128,"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."}}