{"id":"W2588273278","doi":"","title":"Testing and Evaluation of Reclaimed Materials as Aggregate for OPSS Granular B Type II","year":2016,"lang":"en","type":"article","venue":"","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subbase; Gradation; Aggregate (composite); California bearing ratio; Crushed stone; Sieve analysis; Sieve (category theory); Asphalt; Granular material; Geotechnical engineering; Asphalt pavement; Environmental science; Civil engineering; Engineering; Materials science; Compaction; Composite material; Computer science; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005988557,0.0003898007,0.0002464191,0.0006802878,0.0006993058,0.0004715797,0.000685234,0.0002936644,0.00113401],"category_scores_gemma":[0.0006436353,0.0002057359,0.0002943672,0.0006134441,0.0004897808,0.000239739,0.0003273342,0.0001978096,0.0002907634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621208,"about_ca_system_score_gemma":0.001160461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1059332,"about_ca_topic_score_gemma":0.3292175,"domain_scores_codex":[0.9990471,0.00005825577,0.000058225,0.0001118361,0.0006256483,0.00009895919],"domain_scores_gemma":[0.9993314,0.00005645871,0.0001223806,0.00004630651,0.0003558215,0.00008766673],"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":[0.0008368051,0.0002442042,0.02666558,0.0001765444,0.00002556931,0.0003739755,0.0005202778,0.001344608,0.9604002,0.00007973432,0.0001140733,0.009218487],"study_design_scores_gemma":[0.00006591314,0.007959245,0.2735868,0.00003581274,0.00009089577,0.0003756507,0.001836737,0.001776029,0.7089302,0.0000384325,0.00527196,0.00003232589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984529,0.00004496355,0.0004248021,0.000004201987,0.000002378853,0.00006820086,0.0001144225,0.00001297477,0.0008751791],"genre_scores_gemma":[0.9945999,0.00015165,0.002233016,0.00001622714,0.000001768403,0.00004278022,0.0003738112,0.00001114132,0.002569635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1059332,"threshold_uncertainty_score":0.2106332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05860785301688717,"score_gpt":0.3029846613359761,"score_spread":0.244376808319089,"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."}}