{"id":"W4362508320","doi":"10.48550/arxiv.2303.17719","title":"Why is the winner the best?","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Stichting voor de Technische Wetenschappen; Science and Engineering Research Board; HORIZON EUROPE Framework Programme; Perelman School of Medicine, University of Pennsylvania; National Institutes of Health; Wellcome / EPSRC Centre for Interventional and Surgical Sciences; Indraprastha Institute of Information Technology, Delhi; Helmut Horten Stiftung; Universitätsklinikum Heidelberg; Hankuk University of Foreign Studies; Universitat Autònoma de Barcelona; International Graduate School of Science and Engineering; Haute école Spécialisée de Suisse Occidentale; Masarykova Univerzita; Istituto Italiano di Tecnologia; Universität Wien; Radboud Universitair Medisch Centrum; National Cancer Institute; University College London; Université de Lausanne; Medizinische Universität Wien; Gentofte Hospital; Oxford Brookes University; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Technische Universität München; Universität zu Lübeck; Hong Kong University of Science and Technology; University of Toronto; Université de Strasbourg; Technische Universität Dresden; University of Pennsylvania; École Polytechnique Fédérale de Lausanne; University of Leeds; Neuroscience Center Zurich, University of Zurich; University of Nebraska Medical Center; Centre d'Imagerie BioMédicale; Fundacja na rzecz Nauki Polskiej; Engineering and Physical Sciences Research Council; European Commission; University of Oxford; Brigham and Women's Hospital; Ministério da Ciência, Tecnologia e Ensino Superior; Wellcome Trust; Instituto Tecnológico de Costa Rica; European Regional Development Fund; King's College London; Universitat de Barcelona; Centre National de la Recherche Scientifique; Deutsches Krebsforschungszentrum; Universität Zürich; Medical Research Council; Vysoké Učení Technické v Brně; Institut National de la Santé et de la Recherche Médicale; University of Minnesota; Agence Nationale de la Recherche; University of Tokyo; Radboud Universiteit; Rigshospitalet; Fundação para a Ciência e a Tecnologia; University of Washington; Centre Hospitalier Universitaire Vaudois; Boston College","keywords":"Winner-take-all; Computer science; Economics; Mathematical economics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002366189,0.0001974127,0.0001259868,0.00009688188,0.0005515381,0.0001286769,0.0012478,0.0001551895,0.0001603966],"category_scores_gemma":[0.0001989418,0.0001341965,0.0001952696,0.0007554549,0.0003646176,0.00008991184,0.0006516975,0.0007593228,0.00127231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008936399,"about_ca_system_score_gemma":0.00005613689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00014543,"about_ca_topic_score_gemma":0.00007356001,"domain_scores_codex":[0.9984223,0.0002978871,0.0001305482,0.0007933583,0.0001191863,0.0002367465],"domain_scores_gemma":[0.9981171,0.000389007,0.0001835287,0.001192851,0.00005539975,0.00006213028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000262999,0.0004655014,0.00199309,0.0001925222,0.0001972121,0.0005914719,0.00398016,0.07752046,0.02039183,0.4709879,0.4201344,0.003282482],"study_design_scores_gemma":[0.0009079059,0.00009928039,0.004729846,0.0001685673,0.000390508,0.00004075822,0.004287359,0.2426194,0.03234658,0.1678666,0.5451804,0.001362775],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8352468,0.00006391871,0.02509969,0.09549794,0.007396464,0.002188576,0.0001616289,0.001506015,0.03283899],"genre_scores_gemma":[0.9604424,0.0002253646,0.000002281564,0.006798065,0.0001278241,0.000003587912,0.000002360875,0.00002716476,0.03237091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3031212,"threshold_uncertainty_score":0.9995053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.186026213448855,"score_gpt":0.2179064781104176,"score_spread":0.03188026466156263,"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."}}