{"id":"W2791037455","doi":"10.1088/1674-1056/27/1/010502","title":"Detection of meso-micro scale surface features based on microcanonical multifractal formalism","year":2018,"lang":"en","type":"article","venue":"Chinese Physics B","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Multifractal system; Formalism (music); Statistical physics; Physics; Fractal; Mathematics; Mathematical analysis","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":[0.0001730722,0.0001788751,0.0004497491,0.00007862532,0.0001327802,0.00004111752,0.000180728,0.00007690895,0.0001474936],"category_scores_gemma":[0.00002761439,0.0001684473,0.0002705093,0.0004004596,0.00009702023,0.00014299,0.00004996975,0.0001231272,0.0002010092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004998509,"about_ca_system_score_gemma":0.00001442169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009739048,"about_ca_topic_score_gemma":0.0002440511,"domain_scores_codex":[0.9989964,0.0000133647,0.000414427,0.0003173421,0.00005158343,0.0002068686],"domain_scores_gemma":[0.9990798,0.00005081984,0.0003163542,0.000414168,0.00007977891,0.00005909692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00210692,0.004147661,0.3550473,0.0009035284,0.00160411,0.00001324371,0.007019802,0.01651846,0.4952767,0.0571859,0.005163941,0.05501249],"study_design_scores_gemma":[0.00448594,0.001228112,0.2431675,0.0001307757,0.0000866666,0.00001161767,0.0001718862,0.4710401,0.2138821,0.03594749,0.02798427,0.001863546],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846084,0.000187905,0.006568941,0.0001169883,0.000302481,0.0001215477,0.0001406819,0.00002874354,0.007924352],"genre_scores_gemma":[0.998516,0.000005563603,0.0005408947,0.00009342604,0.0003896435,0.000004047196,0.00002297609,0.00002511209,0.0004022898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4545216,"threshold_uncertainty_score":0.6869082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143786497391315,"score_gpt":0.2197764035756987,"score_spread":0.2083385386017855,"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."}}