{"id":"W2186428975","doi":"10.2298/fil1613411p","title":"Convex sets in proximal relator spaces","year":2016,"lang":"en","type":"article","venue":"Filomat","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Mathematics; Regular polygon; Normed vector space; Space (punctuation); Convex set; Combinatorics; Pure mathematics; Basis (linear algebra); Geometry; Convex optimization","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002577189,0.0008920276,0.0007324643,0.001647316,0.0008915543,0.002533307,0.0009049299,0.0007786728,0.004187237],"category_scores_gemma":[0.00522209,0.0004821504,0.0009631458,0.0009914299,0.003742944,0.004547925,0.003711105,0.002352828,0.0007047332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001544805,"about_ca_system_score_gemma":0.0005898862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007874396,"about_ca_topic_score_gemma":0.0005887112,"domain_scores_codex":[0.9973869,0.001118141,0.0001122672,0.0005100796,0.0007187837,0.0001539547],"domain_scores_gemma":[0.9977483,0.001147705,0.000286435,0.000175696,0.0004055531,0.0002362315],"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":[0.00001769758,0.000005978442,0.00009408841,0.00004506062,0.00001254692,0.00004826542,0.00019194,0.007452225,0.0009322072,0.9870073,0.0002758861,0.003916679],"study_design_scores_gemma":[0.00001103963,0.00008253172,0.0002214879,0.00003598258,0.00001260874,0.0001224379,0.0001806743,0.05900445,0.001134232,0.9304521,0.008719598,0.00002291679],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06481373,0.001617262,0.9110317,0.0006733082,0.0001102214,0.00004744796,0.0001731088,0.0001272803,0.02140586],"genre_scores_gemma":[0.7522737,0.002012745,0.2184104,0.0002932315,0.000339124,0.0002485648,0.0004239774,0.0001843903,0.02581379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004187237,"threshold_uncertainty_score":0.01400769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085814465577504,"score_gpt":0.2303135840249992,"score_spread":0.2194554393692242,"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."}}