{"id":"W3033875236","doi":"10.2118/199335-pa","title":"Comparison of Various Particle-Size Distribution-Measurement Methods","year":2020,"lang":"en","type":"article","venue":"SPE Reservoir Evaluation & Engineering","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Standard deviation; Silt; Particle-size distribution; Sieve (category theory); Particle size; Sieve analysis; Mineralogy; Particle (ecology); Sedimentation; Materials science; Mathematics; Sampling (signal processing); Soil science; Statistics; Geology; Optics; Geotechnical engineering; Physics; Sediment","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":[0.005791786,0.000809364,0.0007331832,0.003841958,0.0004187907,0.001416237,0.001503612,0.000661006,0.001144373],"category_scores_gemma":[0.007159784,0.0005488273,0.0007430911,0.002035876,0.0003005533,0.001032334,0.0009073223,0.0005114926,0.0008435542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008739479,"about_ca_system_score_gemma":0.0006227523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003538121,"about_ca_topic_score_gemma":0.005250215,"domain_scores_codex":[0.9945993,0.0008050489,0.0004162034,0.0008085436,0.003195745,0.0001751992],"domain_scores_gemma":[0.9947402,0.001686864,0.0004810485,0.0005224865,0.002483148,0.0000862335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001200339,0.000418248,0.1287985,0.001713029,0.000849093,0.0001326713,0.0004511338,0.006832173,0.2947868,0.001323664,0.002271081,0.5612233],"study_design_scores_gemma":[0.0001506376,0.0010173,0.3172704,0.0002270544,0.000790717,0.0009367313,0.0004067755,0.102092,0.5488381,0.001128504,0.02685684,0.0002849858],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5567485,0.01045509,0.4106559,0.0003314744,0.0004214938,0.0008337595,0.003884911,0.004139408,0.01252947],"genre_scores_gemma":[0.7150741,0.002532271,0.2760552,0.000181708,0.0000691659,0.0005207834,0.00237849,0.0003988408,0.002789571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005791786,"threshold_uncertainty_score":0.03063023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09989152699440298,"score_gpt":0.3524597240627536,"score_spread":0.2525681970683505,"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."}}