{"id":"W2899503061","doi":"10.1051/matecconf/201819907002","title":"Characterization tools for shrinkage-compensating repair materials","year":2018,"lang":"en","type":"article","venue":"MATEC Web of Conferences","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université Laval","funders":"","keywords":"Shrinkage; Expansive; Cracking; Compatibility (geochemistry); Portland cement; Computer science; Cement; Materials science; Composite material; Compressive strength","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001136533,0.0006846847,0.0004652295,0.003186999,0.0003860993,0.0004802077,0.0007897433,0.000857205,0.002728809],"category_scores_gemma":[0.001645129,0.0003099189,0.0003367892,0.001065357,0.0004292563,0.001037478,0.0003725713,0.0005539195,0.001260547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002055034,"about_ca_system_score_gemma":0.0002988569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003496944,"about_ca_topic_score_gemma":0.000860341,"domain_scores_codex":[0.9990619,0.00008146051,0.00008856346,0.0001282654,0.0005682976,0.00007149941],"domain_scores_gemma":[0.9983259,0.0004633415,0.0002885117,0.0002165684,0.0006536333,0.00005213658],"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":[0.00002574632,0.00002779792,0.0009013027,0.0001271027,0.000003291589,0.00006653244,0.0001082851,0.0006443388,0.9781755,0.0002777448,0.0001113302,0.01953103],"study_design_scores_gemma":[0.000003094606,0.00021318,0.005974563,0.00002613288,0.000012903,0.0002520446,0.0001778254,0.003341259,0.9819406,0.0002599003,0.007781902,0.00001660361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4646226,0.003259217,0.5196263,0.0001627991,0.00008571812,0.0006857904,0.00187666,0.001745968,0.007935032],"genre_scores_gemma":[0.75996,0.001456878,0.2302759,0.00008526778,0.00003352341,0.0006369283,0.001906969,0.000299954,0.005344617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003186999,"threshold_uncertainty_score":0.009128809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03748578810978655,"score_gpt":0.2708228201580257,"score_spread":0.2333370320482391,"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."}}