{"id":"W2071973187","doi":"10.1139/l06-059","title":"The influence of fine aggregate combinations on particle size distribution, grading parameters, and compressive strength of sandcrete blocks","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Construction Engineering and Safety","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compressive strength; Silt; Fineness; Durability; Geotechnical engineering; Materials science; Aggregate (composite); Curvature; Gradation; Particle-size distribution; Composite material; Particle size; Mathematics; Geology; Computer science; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000130629,0.0001129224,0.0001901033,0.00006729638,0.00007011931,0.00002258598,0.0001098836,0.00003933576,0.000007638052],"category_scores_gemma":[0.0001891427,0.0001017054,0.00005552231,0.0002004224,0.0000759975,0.00008332737,0.000005196152,0.000184518,1.897453e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006475417,"about_ca_system_score_gemma":0.00005299238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002765078,"about_ca_topic_score_gemma":0.002348519,"domain_scores_codex":[0.999238,0.00001004179,0.0003984732,0.00005523671,0.00009775862,0.0002005432],"domain_scores_gemma":[0.9991961,0.0003046496,0.0001066331,0.0001139119,0.0001206868,0.0001580462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003148367,0.000003437467,0.001553093,0.00003234656,0.0000453025,0.000004786163,0.00006789657,0.993916,0.002070926,0.001618124,0.0001236416,0.0005612906],"study_design_scores_gemma":[0.002888065,0.0003106522,0.3103721,0.001824292,0.0001777611,0.0003499798,0.0001958208,0.6157592,0.05996187,0.0008901743,0.006519442,0.000750582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994808,0.0008772031,0.003863745,0.00005972535,0.0001937294,0.00004698856,0.00005739616,0.00001549443,0.00007768633],"genre_scores_gemma":[0.9997553,0.00004326832,0.0001484718,0.000001312337,0.00002498558,0.000001570349,0.000002175886,0.00001288704,0.00001002014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3781568,"threshold_uncertainty_score":0.4147425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003088580228088232,"score_gpt":0.1602669683267752,"score_spread":0.157178388098687,"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."}}