{"id":"W355066602","doi":"10.1007/978-3-319-08638-5_4","title":"Presheaves and Sheaves of Sets of Vector Fields","year":2014,"lang":"en","type":"book-chapter","venue":"Springer briefs in electrical and computer engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Sheaf; Class (philosophy); Mathematics; Natural (archaeology); Pure mathematics; Algebra over a field; Computer science; Artificial intelligence; Geography","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":[0.0008135344,0.0009399533,0.0007914603,0.003782881,0.001814673,0.005375041,0.0008907206,0.0009616585,0.006683706],"category_scores_gemma":[0.002386067,0.0007712477,0.0007291478,0.002232763,0.004944184,0.007505255,0.002779903,0.003460959,0.001055324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001420137,"about_ca_system_score_gemma":0.0004629091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005843185,"about_ca_topic_score_gemma":0.0004844125,"domain_scores_codex":[0.9989281,0.0002366286,0.00006643654,0.0002011605,0.0004325754,0.0001349501],"domain_scores_gemma":[0.9992404,0.0003284328,0.00007656707,0.0001094211,0.0001211516,0.0001239955],"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":[0.00000577826,0.000003772557,0.00003711733,0.00001725042,0.000004334326,0.00002004378,0.0002542298,0.0001344802,0.0002184511,0.9955954,0.0004913557,0.003217722],"study_design_scores_gemma":[0.000002384274,0.000005933687,0.00008883904,0.00001717279,0.000002832066,0.00005567172,0.0000980121,0.0003719118,0.0001633663,0.9897396,0.009448228,0.000006009818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.1927333,0.02367359,0.2651437,0.003574057,0.00155498,0.0001045127,0.0007769875,0.0005031375,0.5119357],"genre_scores_gemma":[0.8390933,0.01134819,0.03706224,0.00071001,0.002052533,0.000244958,0.0009284217,0.0003333534,0.108227],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006683706,"threshold_uncertainty_score":0.02235925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004050799532625958,"score_gpt":0.184331245091803,"score_spread":0.180280445559177,"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."}}