{"id":"W3048151127","doi":"10.3390/coatings10080770","title":"Self-Healing UV Curable Acrylate Coatings for Wood Finishing System, Part 1: Impact of the Formulation on Self-Healing Efficiency","year":2020,"lang":"en","type":"article","venue":"Coatings","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université Laval; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gloss (optics); Materials science; Acrylate; Composite material; Coating; Methacrylate; Self-healing; Self-healing material; Monomer; Hardness; Polymer","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":[0.0001960639,0.000283486,0.0002349767,0.0002000217,0.0001003181,0.0002403746,0.0001126718,0.0002391598,0.0009323721],"category_scores_gemma":[0.0002623931,0.0001350054,0.000244497,0.000133995,0.00007364125,0.0002272508,0.0001039336,0.0003210142,0.0001883338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001575367,"about_ca_system_score_gemma":0.000120459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004768644,"about_ca_topic_score_gemma":0.001020877,"domain_scores_codex":[0.9998512,0.00001922809,0.00001299168,0.00002864364,0.00006710019,0.00002081877],"domain_scores_gemma":[0.9998298,0.00003157796,0.00005930419,0.000008954661,0.00005222687,0.00001805238],"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":[0.00003496685,0.00002590998,0.00006718333,0.000105696,0.000004430109,0.00001595135,0.00001008167,0.00007609122,0.9974933,0.00001808092,0.00002124877,0.002127168],"study_design_scores_gemma":[0.000006456347,0.000690314,0.00179166,0.00001296995,0.00002509919,0.0000493575,0.00001465487,0.0007235074,0.9955822,0.000007479907,0.001090769,0.000005667596],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932699,0.003538154,0.002041149,0.00002317049,0.00002321997,0.00005779706,0.00009693533,0.00002457324,0.0009250922],"genre_scores_gemma":[0.9917162,0.002311738,0.00437322,0.00002143661,0.000007053513,0.0000392095,0.000112077,0.00002261602,0.001396328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009323721,"threshold_uncertainty_score":0.003119051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02371866081468615,"score_gpt":0.266743606327247,"score_spread":0.2430249455125609,"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."}}