{"id":"W2105136387","doi":"10.1002/cem.809","title":"Shifted factor analysis—Part II: Algorithms","year":2003,"lang":"en","type":"article","venue":"Journal of Chemometrics","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computation; Algorithm; Position (finance); Factor (programming language); Computer science; Factor analysis; Synthetic data; Conjecture; Mathematics; Machine learning; Discrete mathematics","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":[0.003495,0.001492561,0.001181424,0.001605218,0.0005983177,0.001652907,0.001826688,0.001722861,0.009036465],"category_scores_gemma":[0.01471822,0.0008384482,0.001453319,0.002350064,0.001507044,0.0034103,0.002249279,0.002013788,0.004280748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008827493,"about_ca_system_score_gemma":0.001589802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002178585,"about_ca_topic_score_gemma":0.00122385,"domain_scores_codex":[0.9978378,0.0009693364,0.000130148,0.0005382145,0.0004132989,0.0001111115],"domain_scores_gemma":[0.9961354,0.002005437,0.0002306493,0.0009978384,0.0005469122,0.00008389003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001981361,0.00007774875,0.0008653717,0.0003279393,0.0001536726,0.0000755197,0.000151743,0.178063,0.003704881,0.1331419,0.01028308,0.6729571],"study_design_scores_gemma":[0.00004124975,0.00004489586,0.0002836781,0.00004506281,0.00002030009,0.00009426929,0.00002880095,0.7855072,0.001868561,0.2041815,0.00785845,0.00002599333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001235819,0.0003647718,0.9973692,0.0001280504,0.00003919223,0.00003378288,0.00004557769,0.0002566313,0.0005269924],"genre_scores_gemma":[0.06202401,0.001027567,0.9320446,0.0002571183,0.0002403972,0.0003800274,0.0005159375,0.0002353582,0.00327499],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009036465,"threshold_uncertainty_score":0.03022993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03123449909931067,"score_gpt":0.2855000179432603,"score_spread":0.2542655188439497,"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."}}