{"id":"W4404516478","doi":"10.1016/j.cscm.2024.e04004","title":"Hygrothermal characterization of cement mortar composites incorporating micronized miscanthus fibers","year":2024,"lang":"en","type":"article","venue":"Case Studies in Construction Materials","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Agence Nationale de la Recherche","keywords":"Composite material; Materials science; Mortar; Miscanthus; Cement; Characterization (materials science); Waste management; Bioenergy; Engineering; Biofuel","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":[0.000182728,0.0003067837,0.000152144,0.0004062527,0.0001382143,0.0001489408,0.0001099778,0.0001603977,0.0005625214],"category_scores_gemma":[0.0001977442,0.0001197402,0.0002224053,0.0001722548,0.000182291,0.0002141222,0.00009623181,0.0002656149,0.0001151387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001284923,"about_ca_system_score_gemma":0.00007796183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008835467,"about_ca_topic_score_gemma":0.003030797,"domain_scores_codex":[0.9998851,0.00001235767,0.000007748911,0.00003046959,0.00004731484,0.00001697045],"domain_scores_gemma":[0.999813,0.00004473247,0.00005991276,0.00001133782,0.00005311566,0.00001778938],"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":[0.00002092438,0.00000479379,0.0003113204,0.00002653521,0.000002380526,0.00001643759,0.00001623736,0.00008399275,0.9988552,0.000009562975,0.000002729399,0.0006497963],"study_design_scores_gemma":[0.000001103414,0.0002798149,0.01521566,0.000006597451,0.00001391434,0.00007174115,0.00004366969,0.0005740313,0.9833632,0.00001030645,0.0004145099,0.000005471305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978372,0.0004307777,0.001263271,0.000006360638,0.000003655123,0.00000716606,0.00009928497,0.00001587271,0.0003363226],"genre_scores_gemma":[0.9974906,0.0003015701,0.001595876,0.00000942178,0.000002910495,0.000009316072,0.0001173595,0.00001003185,0.0004629288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008835467,"threshold_uncertainty_score":0.001881838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0234525034899685,"score_gpt":0.2628496161398357,"score_spread":0.2393971126498672,"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."}}