{"id":"W3065743396","doi":"","title":"Matchings, hypergraphs, association schemes, and semidefinite optimization.","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Saskatchewan","funders":"","keywords":"Semidefinite programming; Mathematics; Association scheme; Regular polygon; Combinatorics; Context (archaeology); Polyhedron; Hierarchy; Commutative property; Discrete mathematics; Mathematical optimization","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":[0.003856406,0.0009398145,0.000719677,0.0009779345,0.0008510096,0.001889854,0.001770295,0.001081045,0.005918888],"category_scores_gemma":[0.01272992,0.0005411034,0.0007084818,0.001816891,0.003131742,0.005253548,0.002338154,0.003027095,0.0006251682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001709938,"about_ca_system_score_gemma":0.0009538838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00110329,"about_ca_topic_score_gemma":0.001509475,"domain_scores_codex":[0.9983361,0.0007249986,0.00005522459,0.0003125007,0.0004205625,0.0001506199],"domain_scores_gemma":[0.9900362,0.006097208,0.001263795,0.001681018,0.0003352996,0.0005864038],"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":[0.0001600893,0.000128997,0.001057403,0.0001419881,0.00004680365,0.00004511468,0.0001677286,0.2127771,0.003096976,0.7539819,0.001837199,0.02655864],"study_design_scores_gemma":[0.00001682626,0.00005546953,0.0002638054,0.00002123164,0.000009370747,0.00003158464,0.00004573163,0.5483371,0.001713683,0.4478915,0.001599874,0.00001377538],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1273388,0.0006178937,0.8557839,0.0007233347,0.00006402639,0.00008495119,0.0002311222,0.0003350382,0.01482086],"genre_scores_gemma":[0.7584451,0.0005226926,0.2338497,0.0002111617,0.00008088501,0.0001486354,0.0003939494,0.0001801364,0.006167678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005918888,"threshold_uncertainty_score":0.02039486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05756878891317799,"score_gpt":0.1984924738276228,"score_spread":0.1409236849144448,"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."}}