{"id":"W4410301049","doi":"10.3390/en18102496","title":"Kinetic Analysis of Construction, Renovation, and Demolition (CRD) Wood Pyrolysis Using Model-Fitting and Model-Free Methods via Thermogravimetric Analysis","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Mitacs; Université du Québec à Trois-Rivières","keywords":"Thermogravimetric analysis; Pyrolysis; Demolition; Kinetic energy; Materials science; Engineering; Waste management; Chemical engineering; Civil engineering; Physics","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":[0.001200422,0.0008459912,0.0007885198,0.0008291553,0.0002818094,0.0005857459,0.000682875,0.000474671,0.0008930984],"category_scores_gemma":[0.001137163,0.0004267217,0.00121102,0.001413475,0.0002015158,0.0007787818,0.0002879773,0.0006266222,0.0004136624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005361479,"about_ca_system_score_gemma":0.0004186562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002465014,"about_ca_topic_score_gemma":0.002321361,"domain_scores_codex":[0.9994759,0.0000668534,0.00004143247,0.0001452435,0.0002339224,0.00003670892],"domain_scores_gemma":[0.9997354,0.00009431413,0.00003835161,0.00004206697,0.00008184766,0.000007982797],"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":[0.0005803914,0.0003742031,0.009178793,0.0007536393,0.0002003414,0.0002490582,0.0004235527,0.1474196,0.7798204,0.002145676,0.0004060874,0.05844835],"study_design_scores_gemma":[0.00001427782,0.0002102872,0.008863696,0.00001549417,0.00006199691,0.0001495006,0.00008030007,0.5501451,0.4380134,0.0006264103,0.001744366,0.00007513132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8050365,0.001074912,0.1894031,0.00004882802,0.00002856292,0.0001269006,0.00144072,0.0006556523,0.002184799],"genre_scores_gemma":[0.9284839,0.00101701,0.0670417,0.00001755086,0.000004457189,0.0002081118,0.001494608,0.0001513317,0.001581473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002465014,"threshold_uncertainty_score":0.006348491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060143590741076,"score_gpt":0.2615641764017009,"score_spread":0.2509627404942902,"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."}}