{"id":"W2075149538","doi":"10.1046/j.1365-2389.2003.00546.x","title":"Mass fractal dimension of soil macropores using computed tomography: from the box‐counting to the cube‐counting algorithm","year":2003,"lang":"en","type":"article","venue":"European Journal of Soil Science","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Nutrasource","funders":"Sultan Qaboos University","keywords":"Macropore; Fractal dimension; Box counting; Cube (algebra); Fractal; Scaling; Dimension (graph theory); Geometry; Mathematics; Porous medium; Tomography; Algorithm; Porosity; Fractal analysis; Geology; Mathematical analysis; Physics; Geotechnical engineering; Chemistry; Combinatorics; 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":[0.001060979,0.0002838864,0.0002923752,0.001074852,0.0001824997,0.0006544621,0.0004656059,0.0003523155,0.0004142152],"category_scores_gemma":[0.004450988,0.0002096557,0.000296931,0.0005830365,0.0006274158,0.000805578,0.0004258734,0.0004105573,0.0001069652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006275908,"about_ca_system_score_gemma":0.0004650876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002205942,"about_ca_topic_score_gemma":0.001283426,"domain_scores_codex":[0.9998296,0.00006074981,0.00001167081,0.00002876797,0.00005461716,0.00001451516],"domain_scores_gemma":[0.9970148,0.002145773,0.0002658257,0.0001931182,0.0003074482,0.0000729746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003058687,0.00005742545,0.02305214,0.0001767474,0.000080546,0.0001979693,0.0003759699,0.6426687,0.0318355,0.08335333,0.001811545,0.2160843],"study_design_scores_gemma":[0.000004413606,0.000009916778,0.001936806,0.00000831039,0.000003833507,0.00003593766,0.000008559794,0.9869103,0.003739513,0.006849485,0.0004796083,0.00001339844],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2032445,0.0004370635,0.7941992,0.0001356224,0.00001671321,0.00005817887,0.0001818776,0.000598352,0.001128419],"genre_scores_gemma":[0.5396055,0.0003253632,0.4593112,0.00002626238,0.00001703884,0.0001179938,0.0001843627,0.00007945472,0.0003328694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002205942,"threshold_uncertainty_score":0.005611062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098893203286708,"score_gpt":0.2087719794909767,"score_spread":0.1977830474581096,"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."}}