{"id":"W3196096170","doi":"10.48550/arxiv.2108.09810","title":"ICLR 2021 Challenge for Computational Geometry &amp; Topology: Design and Results","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Topology (electrical circuits); Computational topology; Geometry and topology; Representation (politics); Computer science; Geometry; Mathematics; Political science; Combinatorics","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":[0.02173146,0.002209421,0.002717163,0.001575386,0.00240569,0.009114088,0.0059304,0.004722337,0.02002169],"category_scores_gemma":[0.05311464,0.0007766359,0.001778641,0.001934268,0.004934205,0.007267606,0.01430034,0.007761539,0.01685446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006026546,"about_ca_system_score_gemma":0.01000563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005248793,"about_ca_topic_score_gemma":0.005134861,"domain_scores_codex":[0.9728679,0.009802381,0.0008320914,0.003884719,0.01040122,0.002211683],"domain_scores_gemma":[0.9577235,0.01398716,0.0007276011,0.00855386,0.01087611,0.008131721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001349461,0.00117885,0.001545774,0.001577839,0.0001405176,0.0001714767,0.0005858162,0.02269084,0.004921449,0.2284596,0.6015739,0.1358045],"study_design_scores_gemma":[0.0008013104,0.001079855,0.002557455,0.0004502675,0.00008684678,0.0003891877,0.00106922,0.150847,0.01301887,0.2763536,0.5531849,0.0001615239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0575033,0.01077089,0.6309155,0.06901787,0.008798987,0.004531612,0.0324236,0.01086818,0.1751701],"genre_scores_gemma":[0.2742432,0.003642108,0.5189728,0.01176397,0.003266041,0.01001923,0.09013105,0.006307443,0.08165423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02173146,"threshold_uncertainty_score":0.1149282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1292931978064824,"score_gpt":0.2249875636229029,"score_spread":0.09569436581642057,"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."}}