{"id":"W4205367270","doi":"10.1007/s40515-021-00214-2","title":"Predicting the Compactability of Artificially Cemented Fine-Grained Soils Blended with Waste-Tire-Derived Aggregates","year":2022,"lang":"en","type":"article","venue":"Transportation Infrastructure Geotechnology","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Compaction; Soil water; Lime; Materials science; Mineralogy; Composite material; Chemistry; Soil science; Geology; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000234809,0.000518322,0.0002901999,0.0004357439,0.0001765326,0.0006077955,0.0004269907,0.0006219818,0.0004478329],"category_scores_gemma":[0.0006896657,0.0002126356,0.0004137928,0.0004795598,0.0002941655,0.0005426471,0.0001945935,0.0003554774,0.0001419405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006255002,"about_ca_system_score_gemma":0.0003345777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01555276,"about_ca_topic_score_gemma":0.01763907,"domain_scores_codex":[0.9998838,0.000007788085,0.000008773089,0.00004902652,0.00002880109,0.00002175298],"domain_scores_gemma":[0.9996589,0.0001643641,0.0000495307,0.00002917661,0.00006848822,0.00002937826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007068471,0.0003487155,0.06139294,0.0001468957,0.0000703991,0.0001844489,0.00008631683,0.7201815,0.1991416,0.0003182017,0.0001355804,0.01728655],"study_design_scores_gemma":[0.00002280315,0.0002197969,0.03656568,0.000005950794,0.00004134627,0.0000265781,0.00007046282,0.9046977,0.05801616,0.0001328786,0.0001809644,0.00001968242],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982405,0.00002591112,0.001409761,0.000005668575,0.000002398004,0.000004259708,0.0001289006,0.00003028404,0.0001523629],"genre_scores_gemma":[0.9991985,0.0000221106,0.000557959,0.000001323957,5.704488e-7,0.000002411284,0.000130633,0.000004506668,0.00008189831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01555276,"threshold_uncertainty_score":0.03092444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004097282101307641,"score_gpt":0.1753650270986726,"score_spread":0.171267744997365,"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."}}