{"id":"W4239443734","doi":"10.32920/ryerson.14648658","title":"Improving Performance and Durability of Concrete","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Durability; Serviceability (structure); Service life; Carbonation; Porosity; Materials science; Cement; Permeability (electromagnetism); Offset (computer science); Composite material; Structural engineering; Engineering; Computer science; Chemistry","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":[0.000541183,0.0003597685,0.0003255953,0.0004952116,0.0003251359,0.0006368121,0.0003378314,0.0006457345,0.002627769],"category_scores_gemma":[0.0007021062,0.0001342534,0.0003551588,0.0003426975,0.0002170327,0.0006272021,0.0004317949,0.0003036257,0.0009755042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004437162,"about_ca_system_score_gemma":0.0003009892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000751306,"about_ca_topic_score_gemma":0.001178263,"domain_scores_codex":[0.9992673,0.00007423409,0.00003992026,0.0001232993,0.0003653933,0.0001299377],"domain_scores_gemma":[0.9994391,0.00007780609,0.0001149803,0.00007131846,0.0002242899,0.00007250196],"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":[0.0001997196,0.0001307366,0.004196149,0.0002558526,0.00001893362,0.0001682639,0.0001035859,0.004357159,0.9495367,0.0004434558,0.0002060883,0.0403835],"study_design_scores_gemma":[0.00001226231,0.001828205,0.02662364,0.00003925248,0.00008292824,0.0006979905,0.0001224234,0.006403457,0.955657,0.0004079797,0.008093355,0.00003143827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759967,0.005969167,0.008067725,0.00009977743,0.00004513063,0.00002293211,0.0001199306,0.0001490205,0.0095296],"genre_scores_gemma":[0.9930791,0.0009259555,0.002541505,0.00001424594,0.00001060711,0.000004171336,0.00007563554,0.00002803433,0.003320628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002627769,"threshold_uncertainty_score":0.008790731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498495762950977,"score_gpt":0.2322590099627252,"score_spread":0.2172740523332155,"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."}}