{"id":"W3025100529","doi":"10.1520/gtj20190030","title":"Variability in Particle Size Distribution Due to Sampling","year":2020,"lang":"en","type":"article","venue":"Geotechnical Testing Journal","topic":"Cyclone Separators and Fluid Dynamics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Saint-Laurent; École de Technologie Supérieure","funders":"","keywords":"Particle-size distribution; Geotechnical engineering; Sampling (signal processing); Geology; Particle (ecology); Distribution (mathematics); Environmental science; Particle size; Soil science; Mathematics; Engineering; Mathematical analysis","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":[0.01006781,0.000479368,0.0006139752,0.001004601,0.0005134972,0.001071406,0.0007627644,0.0006310918,0.0008105248],"category_scores_gemma":[0.02827474,0.0003074211,0.000755501,0.001444382,0.0007127204,0.0005953293,0.001075202,0.000643562,0.0005160686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007114679,"about_ca_system_score_gemma":0.000279196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001694556,"about_ca_topic_score_gemma":0.00124445,"domain_scores_codex":[0.9829585,0.004815043,0.001206367,0.004392338,0.006286699,0.0003410432],"domain_scores_gemma":[0.9720743,0.01517945,0.002394335,0.0058701,0.004281384,0.0002004769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002208209,0.000479011,0.5864454,0.0007199614,0.001633365,0.0005300667,0.00222851,0.01999827,0.161489,0.002527691,0.003011246,0.2187294],"study_design_scores_gemma":[0.00004377779,0.001342992,0.8725357,0.00007661825,0.0004451567,0.001054716,0.0003295268,0.04359205,0.06891048,0.003559692,0.007983954,0.0001253053],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.782585,0.001863262,0.2062549,0.0001399697,0.0003623463,0.0004664025,0.001825872,0.0008148113,0.005687543],"genre_scores_gemma":[0.9813203,0.0001548825,0.01548584,0.0001290706,0.0000483416,0.0002140626,0.001622305,0.00013557,0.0008896814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01006781,"threshold_uncertainty_score":0.05324429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03035729759563407,"score_gpt":0.250069469383687,"score_spread":0.2197121717880529,"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."}}