{"id":"W2018335279","doi":"10.1029/2007eo030009","title":"Twenty years of nonlinear dynamics in geosciences","year":2007,"lang":"en","type":"article","venue":"Eos","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Theme (computing); Engineering ethics; Point (geometry); Library science; Geophysics; Computer science; Engineering; Geology; Mathematics","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":[0.000545996,0.00004377661,0.0002035064,0.0002136724,0.0000167663,0.00001187641,0.0001289665,0.00003059727,0.0002278779],"category_scores_gemma":[0.00003364867,0.00005270454,0.0000644547,0.0004101226,0.00003692902,0.00006383535,0.00003131463,0.00004374608,0.00007510279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005993736,"about_ca_system_score_gemma":0.000005598621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00405529,"about_ca_topic_score_gemma":0.004686859,"domain_scores_codex":[0.9992775,0.0000027927,0.0003991697,0.0001476927,0.00002703802,0.000145796],"domain_scores_gemma":[0.9996748,0.00002423869,0.0001113868,0.0001514001,0.00001035202,0.00002784021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009040546,0.00009638525,0.7972103,0.00002002724,0.00002416988,0.000009046979,0.0003784964,0.0001286184,0.00001491987,0.1809017,0.00007560667,0.02113163],"study_design_scores_gemma":[0.0003703636,0.00007930952,0.8341844,0.0000198919,0.000004302496,0.000002566245,0.001122898,0.08971779,0.00007356398,0.007024744,0.0671219,0.0002782656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753878,0.0003375398,0.002357641,0.00006062561,0.000163687,0.00005496072,0.00004348434,0.000006652041,0.02158766],"genre_scores_gemma":[0.9980195,0.00001873771,0.0008518937,0.00001653714,0.00003440353,8.507901e-7,0.000005306394,0.000004385241,0.001048425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.173877,"threshold_uncertainty_score":0.6130413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850129849199525,"score_gpt":0.2217076780818414,"score_spread":0.2032063795898461,"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."}}