{"id":"W2904324806","doi":"10.11113/jt.v81.12774","title":"MECHANICAL, THERMAL AND DURABLE PERFORMANCE OF WASTES SAWDUST AS COARSE AGGREGATE REPLACEMENT IN CONVENTIONAL CONCRETE","year":2018,"lang":"en","type":"article","venue":"Jurnal Teknologi","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"Universiti Teknologi Malaysia","keywords":"Sawdust; Materials science; Compressive strength; Composite material; Aggregate (composite); Volume (thermodynamics); Cement; Waste management; Pulp and paper industry; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001228855,0.0001032851,0.0001508401,0.0000548865,0.00004201114,0.00001391429,0.00007239443,0.0000648416,0.0002067199],"category_scores_gemma":[0.00001579449,0.00007880259,0.00002494465,0.00006634979,0.0001191699,0.0001140524,0.00003522527,0.0001041865,0.00004477126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002675495,"about_ca_system_score_gemma":0.00001416059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001508044,"about_ca_topic_score_gemma":0.0000084313,"domain_scores_codex":[0.9994107,0.00001997645,0.0002037229,0.0001037822,0.0000926322,0.0001691101],"domain_scores_gemma":[0.9997694,0.00002712624,0.00004281274,0.00009856136,0.00003056198,0.00003149866],"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":[0.003240791,0.000162125,0.2479263,0.0007680727,0.001070722,0.000168503,0.00202764,0.0008980881,0.695164,0.007102789,0.003293055,0.03817794],"study_design_scores_gemma":[0.003118739,0.002901119,0.01564002,0.000416403,0.00004969543,0.000118732,0.0003437858,0.05277656,0.9214219,0.0002838013,0.002555484,0.0003737941],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958152,0.0007802844,0.000003258321,0.00008699849,0.0001357207,0.00009624387,0.000003858586,0.0000521343,0.003026359],"genre_scores_gemma":[0.9987314,0.000451944,0.0003342578,0.0000215055,0.00004286972,0.00001041551,0.000002699139,0.00001003829,0.0003948852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2322863,"threshold_uncertainty_score":0.3213477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561489945026074,"score_gpt":0.2172359809548939,"score_spread":0.2016210815046332,"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."}}