{"id":"W1575476030","doi":"10.3968/j.pam.1925252820120402.1981","title":"An Introduction to the Generator of the Function Space","year":2012,"lang":"en","type":"article","venue":"Progress in applied mathematics","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generator (circuit theory); Space (punctuation); Self-shrinking generator; Basis (linear algebra); Computer science; Function (biology); Function generator; Electric generator; Induction generator; Control theory (sociology); Mathematics; Physics; Electrical engineering; Engineering; Control (management); Power (physics); Telecommunications; Artificial intelligence; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001829238,0.00007020945,0.00007292988,0.00004563786,0.00004938233,0.00001815117,0.0001131288,0.00003211419,0.00002223263],"category_scores_gemma":[0.000009862078,0.00004390886,0.00001981048,0.0002442773,0.00002221781,0.00006808474,0.00002133374,0.00009732039,0.00001504296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004086964,"about_ca_system_score_gemma":0.000003716029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.995061e-7,"about_ca_topic_score_gemma":0.000007462731,"domain_scores_codex":[0.999545,0.000007504932,0.0001691526,0.00005708091,0.00009937136,0.000121877],"domain_scores_gemma":[0.999561,0.00002136431,0.00003121984,0.00033997,0.00002065254,0.00002575841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001069466,0.0004291644,0.002216099,0.0001728706,0.00004394435,2.864078e-8,0.004784278,0.455277,0.01580599,0.5015202,0.003497668,0.01624205],"study_design_scores_gemma":[0.0001331278,0.00002190425,0.002773569,0.00001904226,0.00003501203,0.000002994788,0.0006365502,0.967686,0.009450374,0.00169553,0.01739056,0.0001553479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7784954,0.0003389407,0.2131784,0.001126485,0.002220573,0.00115434,0.000009700721,0.0001867305,0.003289442],"genre_scores_gemma":[0.9762139,0.000002875741,0.02325914,0.00001344346,0.0003615085,0.0001069699,0.000002576932,0.00001792218,0.00002167571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.512409,"threshold_uncertainty_score":0.1790551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008970183490222933,"score_gpt":0.2399167202706869,"score_spread":0.230946536780464,"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."}}