{"id":"W4393261931","doi":"10.1007/978-3-031-56940-1","title":"Foundations of Information and Knowledge Systems","year":2024,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Indiana University Bloomington; Technische Universität Dortmund; Université de Montpellier; University of Cape Town; Universiteit Hasselt; Université de Bordeaux; Zhejiang University; Universiteit Utrecht; Universidade de São Paulo; University of Waterloo; University of Oxford; Centre National de la Recherche Scientifique; LOEWE Zentrum AdRIA; University of Bristol; Aix-Marseille Université; Hokkaido University; Technische Universität Dresden; Helsingin Yliopisto","keywords":"Computer science; Information system; Information retrieval; Data science","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":[],"consensus_categories":[],"category_scores_codex":[0.0004021952,0.0002034746,0.0002469797,0.0007517479,0.0001195357,0.0004463122,0.001144777,0.0001266124,8.451293e-7],"category_scores_gemma":[0.00003638256,0.000188205,0.00004460115,0.001128264,0.0003327273,0.0009209861,0.0008364471,0.0003076997,0.00002390879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002115078,"about_ca_system_score_gemma":0.00109445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009625993,"about_ca_topic_score_gemma":0.0000057887,"domain_scores_codex":[0.9984671,0.0000174985,0.0004759285,0.0004745236,0.000357202,0.0002077199],"domain_scores_gemma":[0.9985511,0.0003391037,0.0002077164,0.0005374741,0.0002979494,0.00006664231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[5.595561e-7,0.00001604264,0.000003154756,0.0002073917,0.000005929574,0.000001507127,0.0006817246,0.03620863,0.00002092436,0.4515805,0.0002539637,0.5110196],"study_design_scores_gemma":[0.0000433655,0.00003938904,0.0000184004,0.000274632,0.000003707094,0.00002465362,1.577092e-7,0.6396425,0.00008963625,0.344278,0.01542338,0.0001621454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0000095276,0.0009065435,0.9940118,0.0003186763,0.0006015336,0.0003702134,0.00001096184,0.0001650535,0.003605688],"genre_scores_gemma":[0.06050021,0.0001154041,0.9381418,0.000241585,0.0002553565,0.00008311839,0.00003275844,0.00001800286,0.0006118169],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6034339,"threshold_uncertainty_score":0.7674778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454731302093576,"score_gpt":0.2922740989026282,"score_spread":0.2777267858816924,"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."}}