{"id":"W4402423510","doi":"10.24908/iqurcp17986","title":"Isoperimetric Control of an Expanding Set","year":2024,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Isoperimetric inequality; Set (abstract data type); Control (management); Mathematics; Computer science; Combinatorics; Artificial intelligence; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006974024,0.0005324264,0.0004864596,0.0007494208,0.0005694358,0.001310681,0.001050707,0.0006858563,0.002733415],"category_scores_gemma":[0.002750005,0.0003626331,0.0005546543,0.0003294635,0.001629337,0.0008732138,0.001602937,0.0008101395,0.0003343251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114152,"about_ca_system_score_gemma":0.0005733313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002108874,"about_ca_topic_score_gemma":0.001000694,"domain_scores_codex":[0.9996343,0.00007005737,0.00001594792,0.00008545693,0.0001343367,0.00005992347],"domain_scores_gemma":[0.9989455,0.000411853,0.0002128108,0.0001323716,0.0001656596,0.0001318326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001797485,0.0001015646,0.001360503,0.0001167621,0.00002850823,0.0004300758,0.0004523232,0.735572,0.0708205,0.1541573,0.001166812,0.03561391],"study_design_scores_gemma":[0.00001173621,0.00009516532,0.0003721533,0.00001060669,0.000005712299,0.0001051371,0.00004828464,0.9746701,0.008101076,0.01445834,0.002103886,0.00001782422],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3000729,0.0001891015,0.6821903,0.0003230221,0.00004968433,0.00006133113,0.0001102651,0.0003394094,0.01666404],"genre_scores_gemma":[0.9030382,0.0001461864,0.09006768,0.00007565333,0.00002133121,0.00006915136,0.0001181602,0.0001058448,0.006357797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002733415,"threshold_uncertainty_score":0.009144187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104890303910512,"score_gpt":0.3946173881720683,"score_spread":0.2897270842615563,"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."}}