{"id":"W3004332177","doi":"10.1016/j.cemconcomp.2020.103547","title":"New methodology to evaluate the Reynolds dilatancy of self-consolidating concrete using 3D image analysis - Coupled effect of characteristics of fine mortar and granular skeleton","year":2020,"lang":"en","type":"article","venue":"Cement and Concrete Composites","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dilatant; Materials science; Reynolds number; Mortar; Composite material; Shearing (physics); Tribometer; Geotechnical engineering; Tribology; Mechanics; Geology; Turbulence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005781936,0.0001926363,0.0007574089,0.0001428675,0.00006303383,0.00002766897,0.0001295503,0.00006180014,0.00007975325],"category_scores_gemma":[0.0001094124,0.0001592661,0.00007456435,0.0005067153,0.0001051007,0.00007795435,0.00009360577,0.00007836452,4.986657e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001044422,"about_ca_system_score_gemma":0.00001981499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005657183,"about_ca_topic_score_gemma":5.68033e-7,"domain_scores_codex":[0.9986759,0.0001568546,0.0006768796,0.0001877771,0.0001520572,0.0001505674],"domain_scores_gemma":[0.9989589,0.0003980989,0.0002155338,0.0002073391,0.0001669953,0.00005311778],"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":[0.0000953012,2.376452e-7,0.009573197,0.0003327687,0.0006358419,0.000001052929,0.0004196508,0.0001423074,0.9872804,0.0002783614,0.00001204495,0.001228831],"study_design_scores_gemma":[0.001012601,0.0003761007,0.002129027,0.00008543131,0.002297412,0.000005068255,0.00007018256,0.2082292,0.7854492,0.0000194119,0.00009140105,0.0002349416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703491,0.0004146782,0.02863804,0.00005642979,0.00009898299,0.0003121067,0.00005498122,0.00003553862,0.00004010921],"genre_scores_gemma":[0.9543898,0.00006646048,0.04536783,0.00004758294,0.00006403815,0.000006757483,0.0000402971,0.00001579519,0.000001484989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2080869,"threshold_uncertainty_score":0.6494682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333930461369663,"score_gpt":0.2747123622143136,"score_spread":0.251373057600617,"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."}}