{"id":"W937046862","doi":"10.1016/j.jaap.2015.07.015","title":"Thermal degradation performance of bark based phenol formaldehyde adhesives","year":2015,"lang":"en","type":"article","venue":"Journal of Analytical and Applied Pyrolysis","topic":"Thermal and Kinetic Analysis","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Economic Development and Innovation","keywords":"Phenol; Formaldehyde; Chemistry; Adhesive; Degradation (telecommunications); Thermal stability; Fourier transform infrared spectroscopy; Nuclear chemistry; Organic chemistry; Thermogravimetry; Chemical engineering; Inorganic 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":[],"consensus_categories":[],"category_scores_codex":[0.0006233903,0.0001280749,0.0004378248,0.0001442729,0.00005170696,0.00003419225,0.0001908508,0.00005819309,0.0003029577],"category_scores_gemma":[0.00004029823,0.00008357901,0.0001417094,0.0002493178,0.0001517716,0.0001733006,0.00003588914,0.0001059375,0.00001572589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001808799,"about_ca_system_score_gemma":0.00006985594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000853282,"about_ca_topic_score_gemma":0.000001106794,"domain_scores_codex":[0.9986452,0.00003703187,0.0005599019,0.0001231182,0.000451805,0.0001829152],"domain_scores_gemma":[0.999,0.00007543546,0.0003916939,0.0001256107,0.0001946907,0.0002126008],"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":[0.002132835,0.0004123081,0.006992365,0.0001069231,0.0002829476,0.00001099463,0.0005956287,0.02304238,0.9436588,0.002295735,0.0003767942,0.02009226],"study_design_scores_gemma":[0.003733584,0.001319311,0.02572992,0.0001002448,0.001941639,0.00002899654,0.001449514,0.1118733,0.8516966,0.000594469,0.0009974838,0.0005349974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962574,0.0001307576,0.001494934,0.0002087605,0.00003155876,0.00003670873,0.000003753669,0.000006429894,0.00182974],"genre_scores_gemma":[0.9976177,0.0000187188,0.00203352,0.00009771344,0.0001098428,0.00000127619,0.000001568656,0.000007150546,0.0001125324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09196224,"threshold_uncertainty_score":0.3408253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01761436414683784,"score_gpt":0.2263037796049384,"score_spread":0.2086894154581005,"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."}}