{"id":"W3028421557","doi":"10.1002/cem.3235","title":"CATTELL'S parallel proportional profiles","year":2020,"lang":"en","type":"article","venue":"Journal of Chemometrics","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Rotation (mathematics); Covariance; Decomposition; Tensor (intrinsic definition); TRACE (psycholinguistics); Simple (philosophy); Computer science; Factor (programming language); Mathematics; Applied mathematics; Algorithm; Statistics; Artificial intelligence; Pure mathematics; Chemistry","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":[0.0005215478,0.00008262032,0.0001807384,0.0003902858,0.00003239642,0.0001193353,0.0007117463,0.00005661657,0.00002170983],"category_scores_gemma":[0.0005805331,0.00006751616,0.0001040588,0.001915591,0.0000231115,0.0005963236,0.0000985912,0.0002754197,0.00001831265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003334775,"about_ca_system_score_gemma":0.0002117299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.500716e-7,"about_ca_topic_score_gemma":3.503157e-8,"domain_scores_codex":[0.9986437,0.00003739881,0.0004465048,0.0001174985,0.0006371193,0.0001177998],"domain_scores_gemma":[0.9986973,0.00006960805,0.0005018279,0.0001316775,0.0004360007,0.0001635185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001762818,0.00135403,0.02522279,0.0002914743,0.0003265619,0.0005522404,0.01023605,0.002314402,0.02292831,0.2586093,0.4905987,0.1873898],"study_design_scores_gemma":[0.003476308,0.003425615,0.02178693,0.0001060522,0.0000709967,0.00129039,0.0002945417,0.04066422,0.3825076,0.0372149,0.5077719,0.001390502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009917078,0.0002637491,0.9606588,0.0273589,0.0001043613,0.00008392557,7.279571e-7,0.00007380016,0.001538632],"genre_scores_gemma":[0.6266718,0.00006386226,0.3696308,0.003294007,0.0002310005,0.000001784195,8.102696e-7,0.000007858774,0.00009816478],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6167547,"threshold_uncertainty_score":0.2753229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03842134327046663,"score_gpt":0.2666137767937194,"score_spread":0.2281924335232528,"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."}}