{"id":"W4409982093","doi":"10.32604/jrm.2025.02025-0017","title":"Optimizing Activation Temperature of Sustainable Porous Materials Derived from Forestry Residues: Applications in Radar-Absorbing Technologies","year":2025,"lang":"en","type":"article","venue":"JOURNAL OF RENEWABLE MATERIALS","topic":"Recycling and utilization of industrial and municipal waste in materials production","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Porosity; Radar; Environmental science; Forestry; Materials science; Engineering; Composite material; Aerospace engineering; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005868966,0.0001765076,0.0005590318,0.0004231031,0.00008179686,0.0001329161,0.0002537115,0.0002907382,0.00004566242],"category_scores_gemma":[0.0002217891,0.0001526767,0.00004118354,0.000377126,0.00004072701,0.0003403924,0.00005557531,0.0001197934,5.461973e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000116845,"about_ca_system_score_gemma":0.00008575091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004998609,"about_ca_topic_score_gemma":0.00001111624,"domain_scores_codex":[0.9983868,0.00007319653,0.001036552,0.0001425254,0.0001419022,0.0002190296],"domain_scores_gemma":[0.9990178,0.00007710612,0.0004339821,0.0002353116,0.0002142541,0.00002156697],"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":[0.0001496168,0.00002744874,0.0000492589,0.00023412,0.00005088139,0.000003510941,0.0001414821,0.04790992,0.9507439,0.0002041642,0.0002999601,0.0001857915],"study_design_scores_gemma":[0.0005536008,0.0000351599,0.0001896298,0.0006651832,0.00003255536,0.000003180991,0.004193285,0.000008849363,0.9899265,0.003130355,0.001142859,0.000118846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968616,0.0006269532,0.0008482003,0.0001364912,0.0008944159,0.0003159675,0.0000228377,0.00009298993,0.0002005093],"genre_scores_gemma":[0.9959369,0.0008545156,0.002664271,0.000006307298,0.0002082931,0.00002579771,0.00004300109,0.00002084174,0.0002400418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04790107,"threshold_uncertainty_score":0.6225976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076277532464928,"score_gpt":0.2364407167805763,"score_spread":0.225677941455927,"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."}}