{"id":"W2767439835","doi":"10.1515/acv-2017-0036","title":"On the Wasserstein distance between mutually singular measures","year":2018,"lang":"en","type":"article","venue":"Advances in Calculus of Variations","topic":"Geometric Analysis and Curvature Flows","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Agence Nationale de la Recherche","keywords":"Combinatorics; Physics; Mathematics","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":[0.006510084,0.001397203,0.001768864,0.003474134,0.001378532,0.003121519,0.002304334,0.002626087,0.002915803],"category_scores_gemma":[0.02990763,0.0008975022,0.001335631,0.001946109,0.005140891,0.006156081,0.004547379,0.003243188,0.0004431055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00330552,"about_ca_system_score_gemma":0.001064989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003734132,"about_ca_topic_score_gemma":0.002040879,"domain_scores_codex":[0.9949345,0.001926254,0.000277005,0.001176444,0.001320994,0.000364732],"domain_scores_gemma":[0.982011,0.01152041,0.002302409,0.0009300183,0.001830491,0.001405584],"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":[0.0001496727,0.00005894664,0.002936705,0.0002610928,0.000181009,0.0003512149,0.0003012186,0.1054683,0.001909871,0.8631862,0.002002337,0.02319335],"study_design_scores_gemma":[0.0000100931,0.00006988686,0.0008002683,0.00006144738,0.00002110226,0.0001174796,0.00006224758,0.3469496,0.0004881267,0.6501878,0.001197544,0.0000343479],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1819616,0.002178648,0.8043202,0.00176529,0.000136276,0.00005593104,0.0002547643,0.0002217588,0.009105639],"genre_scores_gemma":[0.8708763,0.001217799,0.117322,0.0004329148,0.0003137656,0.000116804,0.0007105204,0.0003266443,0.008683352],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006510084,"threshold_uncertainty_score":0.03442901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03347842069438759,"score_gpt":0.3218980798185114,"score_spread":0.2884196591241238,"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."}}