{"id":"W2041813373","doi":"10.1002/app.22118","title":"Differential scanning calorimetry characterization of urea–formaldehyde resin curing behavior as affected by less desirable wood material and catalyst content","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Intertek (Canada)","funders":"","keywords":"Curing (chemistry); Differential scanning calorimetry; Urea-formaldehyde; Catalysis; Materials science; Formaldehyde; Activation energy; Raw material; Enthalpy; Hydrolysis; Composite material; Chemical engineering; Polymer chemistry; Chemistry; Nuclear chemistry; Organic chemistry; Adhesive","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":[0.0004239969,0.0004397417,0.0004019371,0.000438464,0.0001716368,0.0002392197,0.0002217811,0.0002446211,0.00112034],"category_scores_gemma":[0.0007203904,0.0001970038,0.0002449284,0.0003733864,0.0002154835,0.0002070852,0.0001113362,0.0004883622,0.0001774814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002866704,"about_ca_system_score_gemma":0.0002000808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009811177,"about_ca_topic_score_gemma":0.001764508,"domain_scores_codex":[0.9996618,0.00004783743,0.00002292115,0.000047887,0.0001648817,0.00005464191],"domain_scores_gemma":[0.9994918,0.0002157216,0.0000838303,0.00003284749,0.0001316333,0.00004407271],"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":[0.00004685545,0.00001507755,0.000202806,0.00001867254,0.000003425167,0.000009890353,0.00001357873,0.0001714729,0.9988495,0.00001574278,0.000007251612,0.0006456641],"study_design_scores_gemma":[0.000001673507,0.00005766929,0.001274755,8.467779e-7,0.000003545856,0.00001113701,0.000005956546,0.0007494143,0.9978123,0.000004249646,0.00007560494,0.000002764119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958819,0.0002419565,0.00314686,0.00001423378,0.000009018048,0.00001969922,0.0001844443,0.0000444932,0.0004573441],"genre_scores_gemma":[0.994749,0.0002559839,0.00374082,0.00001773341,0.000004237004,0.00002951308,0.0003185249,0.00003660251,0.0008474764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00112034,"threshold_uncertainty_score":0.00374788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009360079430215005,"score_gpt":0.204226346305854,"score_spread":0.194866266875639,"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."}}