{"id":"W3094205470","doi":"10.1016/j.jenvman.2020.111503","title":"Potential use of coconut fibre modified mortars to enhance thermal comfort in low-income housing","year":2020,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Masonry and Concrete Structural Analysis","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Ryerson University","keywords":"Thermal comfort; Low income housing; Mortar; Low income; Environmental science; Materials science; Waste management; Pulp and paper industry; Business; Composite material; Engineering; Economics; Geography","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":[0.0001724635,0.0002735268,0.0001612105,0.0002714381,0.0002669371,0.0004263066,0.0003657007,0.0002594671,0.001499956],"category_scores_gemma":[0.000249965,0.00008331605,0.0002099948,0.0001645174,0.0001317808,0.0001846127,0.0001615162,0.0001117779,0.0001765626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001981271,"about_ca_system_score_gemma":0.0001573326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003248167,"about_ca_topic_score_gemma":0.01538274,"domain_scores_codex":[0.9999332,0.00001719198,0.000002618175,0.000009186158,0.00001920303,0.00001856514],"domain_scores_gemma":[0.9999094,0.00001871906,0.00002119627,0.000006081595,0.0000304237,0.00001418339],"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":[0.003069276,0.001438788,0.02262048,0.0004632163,0.0000961543,0.0005550131,0.0002869482,0.007870168,0.8632668,0.0006735549,0.0002755336,0.09938416],"study_design_scores_gemma":[0.0001189016,0.01983069,0.1724053,0.0001973201,0.0005897326,0.0007342313,0.001758084,0.03324754,0.7624721,0.0003193845,0.008248645,0.00007813839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978447,0.0002129805,0.001009247,0.00001414769,0.000008708846,0.00001364146,0.00002123539,0.0000107412,0.0008646679],"genre_scores_gemma":[0.9969861,0.0001297249,0.001972124,0.000005226598,0.000002648292,0.000004075776,0.00001628718,0.00000389414,0.0008799289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003248167,"threshold_uncertainty_score":0.006458521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006259006109951342,"score_gpt":0.1884631806194838,"score_spread":0.1822041745095324,"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."}}