{"id":"W2765790911","doi":"10.3390/ma10111237","title":"Pore Size Distribution in Granular Material Microstructure","year":2017,"lang":"en","type":"article","venue":"Materials","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Microstructure; Granular material; Porous medium; Computation; Porosity; Mechanics; Composite material; Mathematics; Algorithm; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008926546,0.0000729153,0.00007674269,0.0003301691,0.00008239456,0.0002489744,0.0001282133,0.0001263764,0.0002951754],"category_scores_gemma":[0.0003462421,0.0000628835,0.00007762148,0.000225821,0.0002384655,0.0002454731,0.00008936808,0.0000675965,0.00004921993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002663522,"about_ca_system_score_gemma":0.0001839966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002377407,"about_ca_topic_score_gemma":0.002350193,"domain_scores_codex":[0.9999657,0.000003914687,0.000001691993,0.000009436146,0.00001454391,0.000004778049],"domain_scores_gemma":[0.9998844,0.00004310031,0.00002848452,0.0000119367,0.00002491378,0.000007210509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001810554,0.00004962945,0.02922843,0.000139458,0.00002295732,0.0004820645,0.0001504161,0.6501688,0.2658054,0.01510155,0.00028589,0.03838443],"study_design_scores_gemma":[0.000006974502,0.00004845851,0.04100177,0.000006070479,0.000009939642,0.0001967119,0.00005016267,0.9130604,0.04105559,0.003897267,0.0006530585,0.00001360577],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431148,0.0001404638,0.05476394,0.00002501487,0.000003173464,0.000009560958,0.0001310659,0.0001422879,0.001669766],"genre_scores_gemma":[0.9967903,0.00003247199,0.002980428,0.000001323337,5.818591e-7,0.00000190722,0.00003885617,0.00000546154,0.0001486019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002377407,"threshold_uncertainty_score":0.004727125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004319240500105711,"score_gpt":0.2126426238238027,"score_spread":0.208323383323697,"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."}}