{"id":"W4206906794","doi":"10.24963/ijcai.2020/360","title":"Sinkhorn Regression","year":2020,"lang":"en","type":"article","venue":"","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Science Foundation","keywords":"Computer science; Leverage (statistics); Regression; Robustness (evolution); Estimator; Algorithm; Data mining; Mathematics; Artificial intelligence; Statistics","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":[0.003909186,0.001763735,0.001919034,0.001374874,0.0005227271,0.001878641,0.003575189,0.002334081,0.005548933],"category_scores_gemma":[0.009429295,0.0008446759,0.001776015,0.001562738,0.001115906,0.003003585,0.002895086,0.002878789,0.002952035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008355046,"about_ca_system_score_gemma":0.001223978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002428911,"about_ca_topic_score_gemma":0.002303538,"domain_scores_codex":[0.997328,0.0009292612,0.0001434044,0.0007842859,0.0006424361,0.0001725379],"domain_scores_gemma":[0.9965609,0.001727468,0.0003531312,0.0006077031,0.0006433055,0.0001074288],"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":[0.0002617145,0.0001178694,0.002354174,0.0003072264,0.0002645062,0.0002332537,0.0001134995,0.6569443,0.009795556,0.09115545,0.01226944,0.226183],"study_design_scores_gemma":[0.000009031821,0.00003548482,0.000193971,0.00001429732,0.00001394206,0.00005246747,0.000007366188,0.9807172,0.001350297,0.01355998,0.004029602,0.0000163123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001707969,0.0002000887,0.9966492,0.000115342,0.00003584417,0.00001809536,0.0001143572,0.0003898996,0.0007691029],"genre_scores_gemma":[0.2320688,0.001478444,0.7379671,0.001148215,0.0003780722,0.0004307652,0.00322062,0.001844261,0.0214639],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005548933,"threshold_uncertainty_score":0.02067399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02468145633426425,"score_gpt":0.2631487443278573,"score_spread":0.238467287993593,"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."}}