{"id":"W3094839341","doi":"10.1016/j.conbuildmat.2020.121425","title":"Diphasic investigation of the visco-elastoplastic characteristics of highly flowable fine mortars","year":2020,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke","keywords":"Materials science; Rheology; Composite material; Mortar; Cement; Lubrication; Slump; Dispersion (optics)","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":[0.0001363731,0.0001125713,0.000090665,0.0004706896,0.0001286062,0.0001714679,0.0001745626,0.0002022623,0.003222984],"category_scores_gemma":[0.0005505796,0.0000870456,0.00007370652,0.0002764688,0.0003474985,0.0003441225,0.0001332848,0.0003249683,0.000190561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001230949,"about_ca_system_score_gemma":0.00009150839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005423958,"about_ca_topic_score_gemma":0.0006299047,"domain_scores_codex":[0.9999162,0.00001087661,0.000003258713,0.00001376412,0.00004153623,0.00001446222],"domain_scores_gemma":[0.9996277,0.0001722379,0.00006710759,0.00002735455,0.00007932025,0.00002621713],"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":[0.00018921,0.00003323785,0.001265508,0.0000366212,0.000003155153,0.0001228795,0.0000711719,0.0007280535,0.9916615,0.0005905405,0.00005183627,0.005246049],"study_design_scores_gemma":[0.00002177787,0.001000524,0.05483167,0.00001762086,0.00001645204,0.000465125,0.0002359903,0.01961674,0.9203539,0.0004704176,0.002945966,0.00002388809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936399,0.0002126108,0.002890774,0.00001378598,0.000009088879,0.000008885713,0.00005227092,0.00002383641,0.003148793],"genre_scores_gemma":[0.9976767,0.00009128289,0.0005205502,0.00000755929,0.000003624197,0.00000226244,0.00004248564,0.000004900055,0.001650759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003222984,"threshold_uncertainty_score":0.01078194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009986404685314131,"score_gpt":0.1872247745770582,"score_spread":0.177238369891744,"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."}}