{"id":"W4414000408","doi":"10.1016/j.conbuildmat.2025.143434","title":"Impact of bio-based phase change materials on the thermal inertia of panels made from medium-density fiberboard (MDF) residues","year":2025,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Agencia Nacional de Investigación y Desarrollo; Universidad del Bío-Bío; Université Laval","keywords":"Medium density fiberboard; Fiberboard; Materials science; Composite material; Phase change; Phase (matter); Thermal inertia; Engineered wood; Thermal; Engineering; Engineering physics; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004733445,0.0002481099,0.0005594823,0.0001750844,0.0001325951,0.0001357724,0.0002699249,0.0001449416,0.001205771],"category_scores_gemma":[0.0001332892,0.0001573217,0.0000823671,0.0001708822,0.0004128287,0.0001758868,0.0001247246,0.00006610058,0.000007571623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000420477,"about_ca_system_score_gemma":0.00006777917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001249839,"about_ca_topic_score_gemma":0.000002356476,"domain_scores_codex":[0.998338,0.0002886629,0.0006130489,0.0003069665,0.0002182281,0.0002351144],"domain_scores_gemma":[0.9986688,0.0003141453,0.0004588578,0.0003845328,0.0001221118,0.00005157075],"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":[0.0007001445,0.00002701965,0.0005918541,0.00007648081,0.00004710664,0.00000144051,0.00009802608,0.000007407207,0.9963512,0.001314606,0.00005292754,0.0007318298],"study_design_scores_gemma":[0.0008873766,0.0001341978,0.0165969,0.0003478549,0.00006375736,0.000004210688,0.00002349045,0.000006436893,0.9810773,0.0006958732,0.00001708627,0.0001455667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973037,0.00007377536,0.00006643706,0.0003741424,0.001202818,0.0004236454,0.0004598596,0.00006857594,0.00002702797],"genre_scores_gemma":[0.9981832,0.00001890753,0.001448663,0.0001143967,0.0001608837,0.00002113562,0.00002958773,0.00001334924,0.000009860149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01600504,"threshold_uncertainty_score":0.9997073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02546705452325744,"score_gpt":0.2961361531783578,"score_spread":0.2706690986551004,"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."}}