{"id":"W2973161728","doi":"10.1007/978-3-030-30557-4_1","title":"Introduction to Microlocal Analysis","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Numerical methods in inverse problems","field":"Mathematics","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Section (typography); Mathematical proof; Calculus (dental); Mathematics; Pseudodifferential operators; Pure mathematics; Algebra over a field; Computer science; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005053797,0.0003241452,0.0008320009,0.0004996377,0.00002963161,0.0000293979,0.0002620909,0.0003770333,0.01821323],"category_scores_gemma":[0.0002972977,0.0002805492,0.0004347792,0.0001656826,0.00004822607,0.00003338558,0.0001825337,0.0004057641,0.005403515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001512291,"about_ca_system_score_gemma":0.00003424385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001200172,"about_ca_topic_score_gemma":0.00001037204,"domain_scores_codex":[0.9982916,0.00003851796,0.0004756275,0.0006433731,0.0003231169,0.0002278181],"domain_scores_gemma":[0.9981785,0.0003617776,0.0001993275,0.001009404,0.0001297996,0.0001212143],"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":[0.00001619752,0.00001437993,0.000002919012,0.00006649407,0.001237902,0.000001989176,0.00003662315,0.00002979727,0.0001417218,0.8449102,0.1450094,0.008532327],"study_design_scores_gemma":[0.00005018247,0.00004863744,4.278072e-7,0.00001243339,0.001185497,0.000002621683,0.000004301665,0.0001148859,0.0002061846,0.4170271,0.5810691,0.0002787088],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000003550667,0.00001832143,0.3524703,0.001569271,0.0006181397,0.0003453423,0.00001068146,0.000131652,0.6448327],"genre_scores_gemma":[0.000008324075,0.000007558052,0.3862511,0.0003200441,0.0006103124,0.000005087814,0.000009309031,0.00005103445,0.6127372],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4360596,"threshold_uncertainty_score":0.9999647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05764170579105506,"score_gpt":0.3336412257987529,"score_spread":0.2759995200076978,"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."}}