{"id":"W3113790044","doi":"10.18280/ijdne.150616","title":"Visibility Graph Complex Network Analysis on Seismic-Induced Variation in Groundwater Level of Nanxi Well, China","year":2020,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Groundwater; Visibility graph; Graph; Series (stratigraphy); Visibility; Environmental science; Geology; Computer science; Geography; Meteorology; Mathematics; Geotechnical engineering; Theoretical computer science","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":[0.0007970245,0.0001541171,0.0006619453,0.0006482617,0.00004122205,0.0000839632,0.0003427511,0.000158081,0.0001826504],"category_scores_gemma":[0.00008738596,0.0001493577,0.0003303333,0.0007660965,0.00002345023,0.0002725626,0.00005353087,0.0003864008,0.000006743393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001015809,"about_ca_system_score_gemma":0.000020891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004139609,"about_ca_topic_score_gemma":0.0001899031,"domain_scores_codex":[0.9982718,0.00004954975,0.001119503,0.0002620635,0.0001446136,0.0001524566],"domain_scores_gemma":[0.9984671,0.00008917827,0.00105977,0.0001371659,0.0001780168,0.00006870004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00185891,0.0008784931,0.1758948,0.00009157439,0.009048495,0.00009558572,0.002494048,0.675338,0.0007943785,0.1292643,0.001367029,0.002874356],"study_design_scores_gemma":[0.000879207,0.0003309933,0.4078003,0.00003106281,0.0001241995,0.00001168201,0.00005507634,0.5594339,0.00001291184,0.02999528,0.001114079,0.0002113507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6990147,0.0004904965,0.2962404,0.002695998,0.0005228413,0.0001387615,0.0001153205,0.000006719303,0.0007747958],"genre_scores_gemma":[0.9969792,0.0001290613,0.002150611,0.0004165472,0.0002586308,0.000001064872,0.00002412982,0.00001150441,0.00002925738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2979645,"threshold_uncertainty_score":0.609063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04745412850401625,"score_gpt":0.2504953732448948,"score_spread":0.2030412447408785,"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."}}