{"id":"W7047460755","doi":"","title":"Functional modeling techniques for high-dimensional data with complex structures","year":2023,"lang":"en","type":"dissertation","venue":"e-Archivo (Carlos III University of Madrid)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Dimension (graph theory); Dimensionality reduction; Covariate; Class (philosophy); Functional data analysis; Feature (linguistics); Big data; Data modeling; Regression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001539697,0.000272822,0.0003898917,0.0003070136,0.0003319946,0.00002889949,0.0007940406,0.00008567711,0.02693795],"category_scores_gemma":[0.000006850437,0.0002847143,0.0001119242,0.0001631742,0.00009460443,0.00004921411,0.0003738741,0.000325776,0.00001267388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001395787,"about_ca_system_score_gemma":0.000402754,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00742959,"about_ca_topic_score_gemma":0.002011835,"domain_scores_codex":[0.9982056,0.00004171667,0.0002236979,0.0006056381,0.0006272444,0.0002961064],"domain_scores_gemma":[0.9986115,0.0001417509,0.0002039071,0.0006392642,0.0003039151,0.00009969759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008289303,0.0006345405,0.0005005188,0.00141509,0.002374939,0.0000353641,0.001330349,0.00281494,0.01300512,0.03174371,0.5343859,0.4034702],"study_design_scores_gemma":[0.0278441,0.003450264,0.06589449,0.003688925,0.004053257,0.000008887794,0.05663167,0.5874875,0.008677199,0.04561012,0.1892975,0.007356056],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6329338,0.0000890599,0.1741548,0.001956132,0.001240435,0.008300293,0.01948081,0.0007861109,0.1610586],"genre_scores_gemma":[0.6149773,0.00002471455,0.05305966,0.0000336772,0.0007803236,0.0000221331,0.1478066,0.0001635517,0.1831321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5846726,"threshold_uncertainty_score":0.9999605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03747102212011298,"score_gpt":0.2617072320727633,"score_spread":0.2242362099526503,"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."}}