{"id":"W2735706220","doi":"10.1139/cgj-2017-0098","title":"A simple particle-size distribution model for granular materials","year":2017,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breakage; Soil water; Curvature; Particle (ecology); Particle-size distribution; Geotechnical engineering; Granular material; Mechanics; Particle size; Materials science; Mathematics; Statistical physics; Geology; Soil science; Geometry; Physics; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004060177,0.0007518536,0.000804818,0.001007471,0.0003356345,0.001058597,0.00191552,0.001553195,0.002017116],"category_scores_gemma":[0.001348176,0.0003102503,0.0008740949,0.001184781,0.0006017906,0.001570012,0.0005816244,0.0005970516,0.0008354671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008451722,"about_ca_system_score_gemma":0.0005684144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006564853,"about_ca_topic_score_gemma":0.003691262,"domain_scores_codex":[0.9997202,0.00003792932,0.00002191261,0.00007252442,0.0001148701,0.00003250866],"domain_scores_gemma":[0.9995418,0.0001815044,0.00009511741,0.00005027142,0.0001090438,0.00002236908],"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":[0.00004694863,0.00004546891,0.001236944,0.0001112335,0.00002035698,0.0002197466,0.00004473175,0.9604542,0.004795851,0.01475132,0.0009217857,0.01735143],"study_design_scores_gemma":[0.00000464803,0.000009988373,0.0002174857,0.000002778087,0.000004462525,0.00003699985,0.000004211264,0.9965507,0.0003047947,0.002193859,0.0006642789,0.000005752021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04937648,0.000786989,0.9395517,0.000254014,0.0001271235,0.0001366768,0.000677201,0.0005102447,0.008579679],"genre_scores_gemma":[0.8966436,0.001176105,0.08595612,0.0001432518,0.0001030174,0.0003616642,0.000955191,0.000115948,0.014545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006564853,"threshold_uncertainty_score":0.0130533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564353197028173,"score_gpt":0.2210752090858388,"score_spread":0.205431677115557,"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."}}