{"id":"W2014479660","doi":"10.1029/2009eo480003","title":"Nonlinear Geophysics: Why We Need It","year":2009,"lang":"en","type":"article","venue":"Eos","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Toronto; Canadian Space Agency; University of Ottawa; Université du Québec à Montréal; McGill University; University of Calgary; York University; Geological Survey of Canada","funders":"","keywords":"Nonlinear system; Hierarchy; Geophysics; Focus (optics); European union; Geology; Political science; Earth science; Physics; Law; Economics; International trade; Optics; Quantum mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.00006807566,0.00007599281,0.00007924014,0.00001570347,0.00006296672,0.00005027364,0.0004726875,0.00003964443,0.00004434248],"category_scores_gemma":[0.00002847751,0.00006899243,0.00004036367,0.0001673538,0.00001317664,0.0001335893,0.00007177176,0.00009186971,0.0001881391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005947671,"about_ca_system_score_gemma":0.00001694461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005695181,"about_ca_topic_score_gemma":6.191283e-7,"domain_scores_codex":[0.9994111,0.00001186091,0.00008905232,0.0001966993,0.0001067233,0.0001845488],"domain_scores_gemma":[0.9995102,0.00002153303,0.00002239993,0.0003538826,0.00004198346,0.00004997108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001808516,0.0006753422,0.0005831169,0.00007881952,0.00004900638,0.0002658388,0.004718048,0.0009032103,0.08454763,0.07732077,0.3430748,0.4877653],"study_design_scores_gemma":[0.0002273688,0.000103803,0.0007832982,0.00002986255,0.00000347945,0.00001924529,0.00006221081,0.03820745,0.02351705,0.04776679,0.8890035,0.0002759746],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03189803,0.0002735336,0.2253511,0.3557267,0.0007566417,0.0002894991,0.000003457373,0.000821736,0.3848793],"genre_scores_gemma":[0.9520056,0.0000147539,0.02964774,0.00853363,0.0004569399,0.000004042713,0.000004742856,0.00000180492,0.009330782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9201075,"threshold_uncertainty_score":0.281343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412708663243278,"score_gpt":0.224441400175521,"score_spread":0.2103143135430882,"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."}}