{"id":"W3126998491","doi":"10.1016/j.scitotenv.2021.145552","title":"Analysis of biochar-mortar composite as a humidity control material to improve the building energy and hygrothermal performance","year":2021,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea","keywords":"Biochar; Mortar; Materials science; Composite material; Compressive strength; Porosity; Pyrolysis; Building material; Composite number; Humidity; Relative humidity; Waste management","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":[0.0001276503,0.0002191073,0.0001844184,0.0003919549,0.0001820681,0.00020677,0.0001360697,0.000242829,0.0007189781],"category_scores_gemma":[0.0001285006,0.0001087518,0.0003313914,0.0002401,0.0001388805,0.0001399262,0.00007402885,0.000214045,0.0001221993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00012323,"about_ca_system_score_gemma":0.0001480518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007292232,"about_ca_topic_score_gemma":0.002019138,"domain_scores_codex":[0.999897,0.000009631465,0.000004851488,0.00002116916,0.00004787406,0.00001940754],"domain_scores_gemma":[0.9999307,0.00001438933,0.0000154494,0.000004195924,0.0000264863,0.000008756915],"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":[0.0001075977,0.00002698324,0.0002750781,0.00006642521,0.000007579145,0.00003591003,0.000008928354,0.0002713602,0.9974127,0.00004338034,0.00001621828,0.001727827],"study_design_scores_gemma":[0.000003268663,0.0001870543,0.004052489,0.000003428661,0.00002510198,0.00004223489,0.00002402466,0.001484839,0.9937339,0.00001557539,0.0004232921,0.000004763498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951437,0.001127842,0.002500509,0.00002376724,0.00002095784,0.00001807327,0.0001294537,0.00001991168,0.001015848],"genre_scores_gemma":[0.9966756,0.000417588,0.001571487,0.00001391227,0.000004395249,0.000006878555,0.00008759384,0.000007870562,0.001214627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007292232,"threshold_uncertainty_score":0.002405226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004939534908665575,"score_gpt":0.1803598778697836,"score_spread":0.175420342961118,"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."}}