{"id":"W2765496400","doi":"10.1002/ppap.201700132","title":"Energetics of reactions in a dielectric barrier discharge with argon carrier gas: VI PEG‐like coatings","year":2017,"lang":"en","type":"article","venue":"Plasma Processes and Polymers","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Centre Hospitalier de l’Université de Montréal; McGill University; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Diglyme; PEG ratio; Adsorption; Ethylene glycol; Chemical engineering; Adhesion; Monomer; Dielectric barrier discharge; Protein adsorption; Materials science; Argon; Fouling; Dielectric; Chemistry; Molecule; Polymer chemistry; Composite material; Polymer; Organic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002473135,0.0003166288,0.0001754399,0.0001547445,0.0002280424,0.0003653757,0.0003000337,0.0003183177,0.00178803],"category_scores_gemma":[0.0003277555,0.0001613688,0.0001643368,0.0001514197,0.0002540757,0.0003085639,0.0001766542,0.0003050812,0.00022595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003440364,"about_ca_system_score_gemma":0.0001545696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001150629,"about_ca_topic_score_gemma":0.0006564614,"domain_scores_codex":[0.9998116,0.00002294153,0.000008064518,0.0000401616,0.00005629359,0.00006096961],"domain_scores_gemma":[0.9998622,0.00006187573,0.00003025991,0.000009181443,0.00002476135,0.00001161061],"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":[0.000110386,0.00001573517,0.000302654,0.00005761486,0.000007954214,0.00004226682,0.0000611307,0.0003882924,0.9976721,0.0001547325,0.00004314828,0.001143852],"study_design_scores_gemma":[0.00001029347,0.0001071316,0.001230542,0.0000027381,0.000006222304,0.00005681838,0.0000320962,0.001879496,0.9960504,0.00004594018,0.0005730714,0.000005301617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973246,0.0003670845,0.0009468087,0.0000426741,0.000007041263,0.000009759924,0.00006707683,0.00002443133,0.001210526],"genre_scores_gemma":[0.9986078,0.0001784856,0.0005474239,0.00001185694,0.000002670932,0.00000637042,0.00006800015,0.00001453095,0.0005628338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00178803,"threshold_uncertainty_score":0.005981505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036643336037975,"score_gpt":0.2512650071044745,"score_spread":0.2408985737440948,"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."}}