{"id":"W7055480165","doi":"","title":"A Comprehensive system for characterizing granular materials: providing material input for pavement design","year":2003,"lang":"en","type":"article","venue":"NPARC","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Granular material; Calibration; Compaction; Base course; Modulus; Characterization (materials science); Material properties; Task (project management)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002299081,0.0001855724,0.0002697349,0.00004574084,0.000119775,0.0001356136,0.00009616291,0.0000737775,0.00001558459],"category_scores_gemma":[0.00001439096,0.0001816246,0.00005512716,0.00005500516,0.00001173043,0.0001250179,0.00001232064,0.0000311749,0.000005464457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001163049,"about_ca_system_score_gemma":0.00001701899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001420266,"about_ca_topic_score_gemma":2.6845e-7,"domain_scores_codex":[0.9989837,0.00004033868,0.0003095085,0.0001880621,0.0000872015,0.0003911693],"domain_scores_gemma":[0.9996018,0.00006035301,0.00005014972,0.0001579245,0.00006460838,0.00006515578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004677589,0.00001456137,0.00001608054,0.0005935269,0.00003347858,0.000002223078,0.00009049608,0.00035649,0.9954236,0.002903862,0.000235073,0.0002838675],"study_design_scores_gemma":[0.0007944514,0.00009067186,0.0000248534,0.00005839367,0.00003363289,0.000007194928,0.00009245211,0.02336004,0.9686158,0.0004079182,0.006286084,0.000228517],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.84019,0.00002146552,0.1567275,0.00001461736,0.001227488,0.001375172,0.0001346668,0.0002529033,0.00005612786],"genre_scores_gemma":[0.9709425,0.000005203655,0.02794889,0.00003460102,0.0001809082,0.0007807919,0.00003697862,0.00006123738,0.000008917817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1307524,"threshold_uncertainty_score":0.7406437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03280561788583532,"score_gpt":0.2348646021034552,"score_spread":0.2020589842176199,"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."}}