{"id":"W4248865701","doi":"10.1007/978-3-030-27289-0_4","title":"Linear Algebra","year":2019,"lang":"en","type":"book-chapter","venue":"Springer texts in business and economics","topic":"Statistical and numerical algorithms","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Linear algebra; Simplicity; Algebra over a field; Numerical linear algebra; Multivariate statistics; Mathematics; Computer science; Linear system; Pure mathematics; Statistics; Geometry; Mathematical analysis; Philosophy; Epistemology","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":[0.0005773913,0.001281882,0.001228997,0.001725481,0.0008323023,0.00337887,0.0008681675,0.0008014888,0.1074685],"category_scores_gemma":[0.001527401,0.0004865802,0.0006982833,0.003034965,0.00125391,0.002522727,0.001555678,0.00317357,0.0766191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009284875,"about_ca_system_score_gemma":0.0009430957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009032424,"about_ca_topic_score_gemma":0.001092029,"domain_scores_codex":[0.9991623,0.0001640719,0.00004250876,0.00017922,0.0004032449,0.00004872017],"domain_scores_gemma":[0.9995188,0.0001180474,0.00002868848,0.0001492522,0.0001588869,0.00002643066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001437977,0.00003760251,0.00006612323,0.0002582876,0.0000226721,0.0000355394,0.00009243361,0.001247292,0.001052642,0.5972484,0.2026309,0.1972937],"study_design_scores_gemma":[0.000009650091,0.00002042718,0.0001749491,0.00008365036,0.00001302163,0.0001327272,0.0000334362,0.00428539,0.00103022,0.5384587,0.455739,0.00001889861],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001805997,0.01473306,0.2693534,0.003767213,0.004096676,0.00008445277,0.002259906,0.001985403,0.7019138],"genre_scores_gemma":[0.04158339,0.01485706,0.07013481,0.001798651,0.004206984,0.0002711294,0.003313976,0.001361418,0.8624725],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1074685,"threshold_uncertainty_score":0.359518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03396702906323977,"score_gpt":0.2520315254741008,"score_spread":0.2180644964108611,"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."}}