{"id":"W2086830580","doi":"10.1016/j.laa.2012.12.007","title":"Generation of mapping cones from small sets","year":2013,"lang":"en","type":"article","venue":"Linear Algebra and its Applications","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; University of Waterloo","funders":"","keywords":"Cone (formal languages); Mathematics; Transpose; Regular polygon; Characterization (materials science); Combinatorics; Pure mathematics; Algorithm; Geometry; Physics; Optics","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":[0.00004298692,0.00006101735,0.00007697646,0.00006984812,0.00009122245,0.00006342387,0.00019144,0.00003652666,0.00005064174],"category_scores_gemma":[0.000005325157,0.00005533308,0.00002625255,0.0002336299,0.00002034224,0.0003229355,0.00005218544,0.00004049074,0.0001363601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002184042,"about_ca_system_score_gemma":0.00001269343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003282025,"about_ca_topic_score_gemma":0.000002853634,"domain_scores_codex":[0.9995053,0.00001124074,0.0002035721,0.0001289337,0.00007244466,0.00007854271],"domain_scores_gemma":[0.9995143,0.00003334377,0.00008475464,0.0002092367,0.0001044136,0.00005388994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[4.328164e-7,0.00005217266,0.0005108746,0.00002181631,0.00002394103,5.488788e-8,0.00126559,0.00001981444,0.03064764,0.8934416,0.001001158,0.07301488],"study_design_scores_gemma":[0.0004115864,0.00003567539,0.01945655,0.00001576319,0.00001072982,0.000003240035,0.0002050813,0.8750269,0.03362947,0.0335248,0.03739143,0.0002887946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3587693,0.0002345197,0.6389517,0.0007612616,0.00003312912,0.0002812259,0.000009589417,0.00006337626,0.000895977],"genre_scores_gemma":[0.9543236,0.00009021715,0.04478069,0.0005047874,0.00006373828,0.0001493132,0.00004835932,0.000003612893,0.00003571215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.875007,"threshold_uncertainty_score":0.2256417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0422677201179149,"score_gpt":0.2414583666637543,"score_spread":0.1991906465458394,"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."}}