{"id":"W1728359497","doi":"10.1016/j.laa.2011.03.042","title":"A characterization of <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si1.gif\" overflow=\"scroll\"><mml:mrow><mml:mo stretchy=\"false\">(</mml:mo><mml:mi>λ</mml:mi><mml:mtext>,</mml:mtext><mml:mn>2</mml:mn><mml:mo stretchy=\"false\">)</mml:mo></mml:mrow></mml:math>-stable <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si2.gif\" overflow=\"scroll\"><mml:mrow><mml:mo stretchy=\"false\">(</mml:mo><mml:mn>0</mml:mn><mml:mtext>,</mml:mtext><mml:mn>1</mml:mn><mml:mo stretchy=\"false\">)</mml:mo></mml:mrow></mml:math> matrices","year":2011,"lang":"lv","type":"article","venue":"Linear Algebra and its Applications","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University; University of Calgary","funders":"","keywords":"Scroll; Matrix (chemical analysis); Mathematics; Cover (algebra); Row; Combinatorics; Algorithm; Computer science; Chemistry; Database; Philosophy; Theology; Chromatography","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":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.005961895,0.004197463,0.002032798,0.002362574,0.005612755,0.004743225,0.007307491,0.008497402,0.05369429],"category_scores_gemma":[0.002799706,0.007292974,0.005675819,0.005257188,0.004365608,0.005752141,0.005193614,0.00612801,0.008241314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001336885,"about_ca_system_score_gemma":0.003683002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004422989,"about_ca_topic_score_gemma":0.002516906,"domain_scores_codex":[0.9695736,0.001603671,0.007627131,0.006682265,0.006807413,0.007705905],"domain_scores_gemma":[0.9762669,0.003891079,0.007695886,0.006865808,0.001116832,0.004163528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003691088,0.00186826,0.000054477,0.005200524,0.006363646,0.001379658,0.006124228,0.003739435,0.01398287,0.884855,0.06676324,0.005977578],"study_design_scores_gemma":[0.006101799,0.004300209,0.0001884463,0.004271828,0.00653789,0.003119103,0.006590445,0.2117187,0.7238657,0.004930065,0.02152716,0.006848651],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9139499,0.006997081,0.003026054,0.001001718,0.005296143,0.000569422,0.005595209,0.001714968,0.06184948],"genre_scores_gemma":[0.9614923,0.007551639,0.004127893,0.002193493,0.005824626,0.006744093,0.008025155,0.003338259,0.0007025522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.879925,"threshold_uncertainty_score":0.9983439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573065154342835,"score_gpt":0.2259952834742293,"score_spread":0.2102646319308009,"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."}}