{"id":"W4391809045","doi":"10.1007/978-3-031-53966-4","title":"Machine Learning, Optimization, and Data Science","year":2024,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Leibniz-Rechenzentrum; Leibniz-Gemeinschaft; University of California, Irvine; National Technical University of Athens; Saab; Akademia Górniczo-Hutnicza im. Stanislawa Staszica; Università di Pisa; RWTH Aachen University; Université de Limoges; Università di Bologna; National and Kapodistrian University of Athens; Università degli Studi di Parma; Technische Universität Wien; University of Oxford; Kungliga Tekniska Högskolan; Universidade de Coimbra; Universität Passau; University of Crete; University of Washington; Università degli Studi di Padova; Università degli Studi di Milano-Bicocca; Universidade Federal do Rio de Janeiro; Keio University; University College Cork; Cardiff University; Universidade de Trás-os-Montes e Alto Douro; Università Degli Studi di Modena e Reggio Emila; University of Southern California; University College London; Università degli Studi di Camerino; Université Paris-Saclay; Université de Neuchâtel; Middlesex University; Harvey Mudd College; McMaster University; Università degli Studi di Urbino Carlo Bo; York University; Politecnico di Torino; Université de Lorraine","keywords":"Computer science; Artificial intelligence; Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001205528,0.001589794,0.002347359,0.001674159,0.0004303224,0.003465534,0.0008925489,0.001044386,0.01749004],"category_scores_gemma":[0.003892723,0.0007280456,0.000557342,0.004085,0.002098415,0.004009238,0.001067401,0.003604036,0.007010703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180537,"about_ca_system_score_gemma":0.001255822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001919793,"about_ca_topic_score_gemma":0.0025941,"domain_scores_codex":[0.9992091,0.0001898998,0.00004495085,0.0001336941,0.0003911371,0.00003122287],"domain_scores_gemma":[0.9976968,0.001817299,0.00008617472,0.0001693054,0.0001732928,0.00005701905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005795822,0.00006699295,0.0004114911,0.0009475639,0.000104424,0.00004486684,0.00007833749,0.01330113,0.0006002287,0.314824,0.3117929,0.3577701],"study_design_scores_gemma":[0.00001954556,0.00002895481,0.0005452994,0.0002715881,0.00002914372,0.000103806,0.00004597482,0.02797827,0.0003762265,0.657133,0.313445,0.00002321155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.002846164,0.3874946,0.3792024,0.02074753,0.00625831,0.00009724892,0.001267554,0.00137722,0.200709],"genre_scores_gemma":[0.08863704,0.2479492,0.2610682,0.006241131,0.01346911,0.000399092,0.002469519,0.001736331,0.3780305],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01749004,"threshold_uncertainty_score":0.05851001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04578942393295004,"score_gpt":0.2899806834097264,"score_spread":0.2441912594767764,"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."}}