{"id":"W4210415300","doi":"10.1016/j.matpr.2022.01.248","title":"Innovative construction material technologies for sustainable and resilient civil infrastructure","year":2022,"lang":"en","type":"article","venue":"Materials Today Proceedings","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Civil infrastructure; Sustainability; Construction engineering; Construction industry; Production (economics); Engineering; Life-cycle assessment; Emerging technologies; Architectural engineering; Civil engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005365019,0.0005391547,0.0002630421,0.001444957,0.0005516906,0.001973502,0.0007148376,0.001165531,0.007673314],"category_scores_gemma":[0.0003788173,0.0003138638,0.0004409371,0.0009652086,0.001003707,0.002722797,0.001207137,0.001060009,0.001387194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066257,"about_ca_system_score_gemma":0.0007814428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000378567,"about_ca_topic_score_gemma":0.001637603,"domain_scores_codex":[0.9995056,0.00006089012,0.00001628003,0.00004195291,0.0003095049,0.00006560382],"domain_scores_gemma":[0.999886,0.00002299928,0.00001682105,0.00001780733,0.00004007376,0.00001627096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006375991,0.0002286606,0.001096395,0.00134739,0.00003543237,0.0006230778,0.0005719733,0.0137665,0.2159763,0.4797088,0.01285837,0.2737233],"study_design_scores_gemma":[0.00003275579,0.0004054202,0.002974291,0.0005241846,0.00006102721,0.001213762,0.001193954,0.02068901,0.1517235,0.1360447,0.6850523,0.00008498377],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.1785495,0.07721291,0.3457839,0.0117586,0.004244206,0.000281005,0.0003831482,0.0007957377,0.380991],"genre_scores_gemma":[0.7201066,0.04151636,0.1300424,0.0007471655,0.0006153423,0.0001997518,0.0002782886,0.0001576496,0.1063365],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007673314,"threshold_uncertainty_score":0.02566981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00459774705033146,"score_gpt":0.2002320379827246,"score_spread":0.1956342909323932,"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."}}