{"id":"W2588063580","doi":"10.1007/s11336-017-9558-9","title":"Functional Parallel Factor Analysis for Functions of One- and Two-dimensional Arguments","year":2017,"lang":"en","type":"article","venue":"Psychometrika","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Piecewise; Basis function; Functional data analysis; Basis (linear algebra); Mathematics; Transformation (genetics); Quadratic equation; Representation (politics); Function (biology); Algorithm; Set (abstract data type); Domain (mathematical analysis); Applied mathematics; Computer science; Mathematical analysis; Statistics; Geometry","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":[0.005936422,0.002934992,0.001048904,0.002172128,0.001007465,0.001767701,0.001613759,0.001499653,0.00878081],"category_scores_gemma":[0.01556419,0.0006673203,0.002836307,0.003079946,0.002683845,0.002782139,0.002061898,0.003777866,0.00418493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001130791,"about_ca_system_score_gemma":0.002262975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004049066,"about_ca_topic_score_gemma":0.003047151,"domain_scores_codex":[0.995871,0.001876571,0.0002313562,0.0007873852,0.001053193,0.000180459],"domain_scores_gemma":[0.9949586,0.002645717,0.0004414573,0.00097679,0.0008750329,0.0001024453],"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":[0.0002312125,0.0001498528,0.001377531,0.0007302398,0.0002869652,0.000529235,0.000605274,0.1363555,0.01919012,0.376221,0.01111109,0.453212],"study_design_scores_gemma":[0.00003236459,0.0001293481,0.001186802,0.0001249792,0.00005060113,0.0003123619,0.0001059863,0.7840025,0.004987856,0.1778117,0.03113966,0.0001159996],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008592439,0.0001878948,0.9980807,0.00008244808,0.00002820313,0.00003803984,0.00006081891,0.0002001511,0.0004625278],"genre_scores_gemma":[0.0292261,0.0008839335,0.9665953,0.0001322491,0.0001300004,0.000549562,0.0003745974,0.000237856,0.001870368],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00878081,"threshold_uncertainty_score":0.0313952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07998891546375167,"score_gpt":0.3360260429008373,"score_spread":0.2560371274370856,"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."}}