{"id":"W4317033634","doi":"10.1139/cgj-2021-0643","title":"Effect of particle size and particle size distribution on critical state loci of granular soils","year":2023,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Klohn Crippen Berger (Canada); University of Toronto; WSP (Canada)","funders":"Ontario Centres of Excellence","keywords":"Particle size; Soil water; Particle-size distribution; Context (archaeology); Particle (ecology); Granular material; Geotechnical engineering; Materials science; Mineralogy; Mechanics; Geology; Soil science; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000531943,0.0001937906,0.0002673362,0.0009592313,0.0002526685,0.0007903098,0.0001944876,0.0001991303,0.0008127933],"category_scores_gemma":[0.002465082,0.0001669018,0.0001902825,0.0003881351,0.0005943119,0.0004137653,0.0003525124,0.0001902618,0.00009600972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003532933,"about_ca_system_score_gemma":0.000192958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00206971,"about_ca_topic_score_gemma":0.002228149,"domain_scores_codex":[0.9996718,0.00003646031,0.00003085936,0.00008042743,0.0001192454,0.00006110463],"domain_scores_gemma":[0.9964004,0.002101988,0.0005546754,0.0002354083,0.0004045389,0.0003029729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0024108,0.0003483744,0.2830839,0.0002535517,0.0001489597,0.0006883047,0.0002998353,0.04292056,0.6289099,0.001305088,0.0003149759,0.03931579],"study_design_scores_gemma":[0.00006597501,0.001341368,0.7153004,0.00002448953,0.0001102808,0.0003363149,0.0003723036,0.04363957,0.2371404,0.0009211334,0.0006745348,0.00007314813],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985712,0.00007699113,0.0007825192,0.000007085255,0.000002076828,0.000005799224,0.00004500732,0.00002186195,0.0004874322],"genre_scores_gemma":[0.9997613,0.00001885819,0.000123577,0.000002403318,7.646881e-7,0.00000222135,0.00003370683,0.000005436744,0.00005169906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00206971,"threshold_uncertainty_score":0.004115343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005574404913822635,"score_gpt":0.2141906581260495,"score_spread":0.2086162532122268,"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."}}