{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001742986,0.001427838,0.0007610918,0.002538248,0.001791005,0.005840321,0.00150376,0.001125524,0.08048698],"category_scores_gemma":[0.008394302,0.0008244134,0.001401869,0.003376207,0.001870467,0.007889174,0.002822104,0.003376593,0.06223897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001775239,"about_ca_system_score_gemma":0.001599908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002875068,"about_ca_topic_score_gemma":0.003387518,"domain_scores_codex":[0.9973229,0.0004588174,0.0002982113,0.0006209694,0.0009346352,0.0003645568],"domain_scores_gemma":[0.9942262,0.001812463,0.000515579,0.00112607,0.001929197,0.0003906187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001319073,0.00009130053,0.0004302344,0.0002508978,0.00001699605,0.0002374796,0.000614967,0.001656735,0.004573295,0.825414,0.1095458,0.05703647],"study_design_scores_gemma":[0.00004785679,0.00008335118,0.0008477247,0.0001446265,0.00002610787,0.0008078723,0.0002695108,0.01382341,0.01235295,0.5882784,0.3832374,0.00008077348],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01432573,0.0009781898,0.6389375,0.004069085,0.001003615,0.0002251171,0.009101289,0.01120029,0.3201592],"genre_scores_gemma":[0.3674041,0.002520442,0.2898276,0.003419286,0.002376468,0.000822495,0.03088306,0.01414999,0.2885965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08048698,"threshold_uncertainty_score":0.2692558,"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."}}