{"id":"W2061404902","doi":"10.1088/0266-5611/16/5/309","title":"On optimization techniques for solving nonlinear inverse problems","year":2000,"lang":"en","type":"article","venue":"Inverse Problems","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":319,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematical optimization; Newton's method; Inverse problem; Mathematics; Nonlinear programming; Optimization problem; Nonlinear system; Trust region; Electromagnetics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003487457,0.0002056331,0.0002231877,0.00009541302,0.000209331,0.00007352159,0.0002136911,0.0001331134,0.00351702],"category_scores_gemma":[0.0001023399,0.0001642193,0.0001130429,0.0004167362,0.0000735332,0.0002489474,0.000007571352,0.0002031766,0.0005143574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009044803,"about_ca_system_score_gemma":0.00003789781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007189597,"about_ca_topic_score_gemma":0.0002995908,"domain_scores_codex":[0.998566,0.00006514163,0.0002830447,0.0004006391,0.000229263,0.00045594],"domain_scores_gemma":[0.9992467,0.0002445586,0.00007845779,0.0001956253,0.00006495651,0.0001697058],"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":[0.00009413161,0.000103781,0.0004770201,0.00008818965,0.00001989333,0.000002644738,0.0001599985,0.4898256,0.0001411363,0.0001205672,0.002775364,0.5061917],"study_design_scores_gemma":[0.0004325596,0.0009139987,0.0003242707,0.00007438857,0.00002291134,0.000003521792,0.00001127819,0.9300141,0.001138568,0.01908295,0.04763612,0.0003453707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5327041,0.0007702557,0.1813211,0.008987528,0.002293351,0.01636407,0.0009146753,0.0043428,0.2523022],"genre_scores_gemma":[0.1467433,0.0004840436,0.8334464,0.005829918,0.001009661,0.0001649251,0.0007679904,0.00005554658,0.01149816],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6521254,"threshold_uncertainty_score":0.9973939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199835963558337,"score_gpt":0.2398100244096916,"score_spread":0.2178116647741083,"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."}}