{"id":"W2094388921","doi":"10.1023/b:matg.0000041181.32596.5d","title":"Multifractality as a Measure of Spatial Distribution of Geochemical Patterns","year":2004,"lang":"en","type":"article","venue":"Mathematical Geology","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Multifractal system; Fractal dimension; Exponent; Fractal; Box counting; Dispersion (optics); Measure (data warehouse); Mineralogy; Geology; Fractal analysis; Mathematics; Physics; Mathematical analysis; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00178827,0.0002393425,0.0004678961,0.005219192,0.0004928351,0.001455482,0.0005461531,0.0006202828,0.001429382],"category_scores_gemma":[0.01373471,0.0002298729,0.0004788557,0.003382029,0.001374026,0.002457031,0.001051288,0.000803976,0.0001540622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009209448,"about_ca_system_score_gemma":0.0003232219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001997629,"about_ca_topic_score_gemma":0.001568706,"domain_scores_codex":[0.9991754,0.0002122405,0.00005686964,0.0001947532,0.0002577731,0.0001030086],"domain_scores_gemma":[0.9869168,0.007876565,0.002754966,0.0009445683,0.000881987,0.000625034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004624086,0.0002190376,0.1707326,0.000344008,0.0004675075,0.0007116655,0.002324193,0.1133128,0.03307231,0.5177668,0.003335807,0.1572508],"study_design_scores_gemma":[0.00002693952,0.0002144559,0.2023414,0.0000773653,0.000160272,0.001100558,0.0007281569,0.4445917,0.003258873,0.3424777,0.004911845,0.0001107457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.793879,0.001899799,0.1984233,0.0009449625,0.00003924566,0.00002033459,0.0006708477,0.0001454718,0.003977018],"genre_scores_gemma":[0.989812,0.0003992774,0.008917943,0.00003540036,0.00007903186,0.00001404107,0.0002143369,0.00001603738,0.0005118196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005219192,"threshold_uncertainty_score":0.009457409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01405528021873514,"score_gpt":0.2405351927346659,"score_spread":0.2264799125159308,"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."}}