{"id":"W3139782417","doi":"","title":"Control of Full Depth Pulverized Aggregate Production Using Ground Penetrating Radar","year":2012,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overlay; Compaction; Ground-penetrating radar; Aggregate (composite); Asphalt; Consistency (knowledge bases); Crushed stone; Geotechnical engineering; Environmental science; Materials science; Geology; Radar; Engineering; Composite material; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0001459414,0.00007589242,0.0001234568,0.00002174058,0.00003856971,0.00000868915,0.00004314024,0.00002779876,0.00002175862],"category_scores_gemma":[0.00002293353,0.000067969,0.00003860794,0.0001247196,0.00001739185,0.0001490218,0.000006609783,0.00006038399,0.000008330538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001607397,"about_ca_system_score_gemma":0.000003902982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000422844,"about_ca_topic_score_gemma":0.00000325742,"domain_scores_codex":[0.9995071,0.00002161478,0.0001548217,0.00007554633,0.00007236109,0.0001685276],"domain_scores_gemma":[0.9997203,0.00003476781,0.00003728934,0.0001330661,0.00002589383,0.00004868873],"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":[0.000003024532,0.00002136619,0.0001675389,0.00002892452,0.00001520028,2.748241e-8,0.00003528155,0.0003045042,0.9916157,0.001721791,0.000005450649,0.006081245],"study_design_scores_gemma":[0.002780138,0.0001465808,0.208009,0.0001923073,0.0004031409,0.00006495756,0.0005788388,0.1249357,0.6522775,0.005606411,0.003594142,0.00141134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.841055,0.0001019853,0.1573236,0.00001919895,0.0001569498,0.0001537771,0.000001441736,0.00008722703,0.001100719],"genre_scores_gemma":[0.8895438,0.0000033759,0.1101813,0.000006428048,0.000212834,0.00001110538,0.000001574444,0.00001283902,0.00002681879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3393382,"threshold_uncertainty_score":0.2771695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02793341336590767,"score_gpt":0.268096398229033,"score_spread":0.2401629848631253,"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."}}