{"id":"W2950493376","doi":"","title":"Engineering and Environmental Assessment of Foam Glass Lightweight Aggregate for Pavement Application","year":2019,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Recycling and utilization of industrial and municipal waste in materials production","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aggregate (composite); Civil engineering; Geotechnical engineering; Environmental science; Engineering; Materials science; Waste management; Composite material","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":[0.0004477514,0.0003435691,0.0002402259,0.0008346158,0.0004668201,0.001007972,0.0002529441,0.0005469493,0.001383407],"category_scores_gemma":[0.0002946589,0.0001345273,0.0003965794,0.0005350643,0.0001945839,0.0003719047,0.0003281335,0.0002872882,0.0004544305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009097609,"about_ca_system_score_gemma":0.000648989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004963319,"about_ca_topic_score_gemma":0.010881,"domain_scores_codex":[0.9994349,0.00004665754,0.00002220025,0.00005979599,0.0003925541,0.0000438649],"domain_scores_gemma":[0.9997805,0.00003377042,0.000037918,0.00001302591,0.0001181602,0.0000166782],"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":[0.0002459958,0.0001507793,0.02335349,0.0003947407,0.00003498474,0.0004182562,0.0002270687,0.01621487,0.8960667,0.0006335007,0.0006542824,0.06160529],"study_design_scores_gemma":[0.00001205167,0.001922235,0.08639663,0.0001197725,0.000122653,0.0002884622,0.0009437688,0.02741209,0.8680269,0.0006863014,0.01402689,0.0000423019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864908,0.0009389374,0.005020527,0.00005006548,0.00001651685,0.00008005944,0.0005060732,0.00004344375,0.006853721],"genre_scores_gemma":[0.9914387,0.0009705675,0.003709273,0.00002446911,0.000004794656,0.00005324003,0.0002975756,0.0000205872,0.003480678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004963319,"threshold_uncertainty_score":0.00986886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008109008284700561,"score_gpt":0.1991168071558412,"score_spread":0.1910077988711406,"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."}}