{"id":"W2605570255","doi":"10.1002/app.45124","title":"Replacing 100% of phenol in phenolic adhesive formulations with lignin","year":2017,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Adhesive; Lignin; Phenol; Thermogravimetric analysis; Differential scanning calorimetry; Phenol formaldehyde resin; Fourier transform infrared spectroscopy; Materials science; Formaldehyde; Pulp (tooth); Nuclear chemistry; Hydrolysis; Phenols; Chemistry; Composite material; Chemical engineering; Organic chemistry","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":[0.0002027471,0.0004823073,0.0002042236,0.0003012837,0.0001011211,0.0002163536,0.0002090845,0.0001871757,0.0007460386],"category_scores_gemma":[0.0002267399,0.00009882849,0.0001831784,0.0003141919,0.0001067835,0.0002633618,0.0001606452,0.0004008586,0.0001493059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001759988,"about_ca_system_score_gemma":0.0001608044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004823632,"about_ca_topic_score_gemma":0.001010113,"domain_scores_codex":[0.9997895,0.00003619367,0.00001564933,0.00004268824,0.00007682806,0.00003905271],"domain_scores_gemma":[0.9998665,0.00001803915,0.00005940962,0.0000129557,0.00002382388,0.00001936134],"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":[0.00005027617,0.00002480271,0.0001242734,0.000107366,0.000008333093,0.00004760833,0.0000132038,0.00005443154,0.9968641,0.00002242919,0.00001601133,0.002667142],"study_design_scores_gemma":[0.000003738709,0.0003691803,0.001603859,0.00001241828,0.00002962705,0.0001112638,0.00001786265,0.0001886201,0.9964176,0.0000068249,0.001235618,0.000003496118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944741,0.002495317,0.002115774,0.0000177353,0.00002279374,0.00002432841,0.00009316389,0.00003020475,0.0007265617],"genre_scores_gemma":[0.9944717,0.001130927,0.003304952,0.00002414073,0.000006442832,0.00001678593,0.000120613,0.00001707878,0.0009074969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007460386,"threshold_uncertainty_score":0.002495766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008739483434436469,"score_gpt":0.2310401474706324,"score_spread":0.2223006640361959,"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."}}