{"id":"W2896246511","doi":"10.1002/mren.201800050","title":"Polymer Nanocomposites for Emulsion‐Based Coatings and Adhesives","year":2018,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations; CelluForce (Canada); McMaster University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations","keywords":"Emulsion; Materials science; Nanocomposite; Adhesive; Polymer; Coating; Nanoparticle; Polymer nanocomposite; Emulsion polymerization; Solvent; Surface modification; Carbon nanotube; Chemical engineering; Nanotechnology; Composite material; Copolymer; Organic chemistry; 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":[0.0002075344,0.0004895253,0.000190646,0.0003512075,0.0001515797,0.0003586427,0.0002237103,0.000350615,0.001181384],"category_scores_gemma":[0.0002218331,0.0001977566,0.0002101484,0.0001425944,0.0001204991,0.0003083431,0.0002022222,0.0004891239,0.0004517914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004451917,"about_ca_system_score_gemma":0.0002248244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004409466,"about_ca_topic_score_gemma":0.0009856828,"domain_scores_codex":[0.9998769,0.00001693282,0.000008074372,0.00002804158,0.00005312118,0.00001694539],"domain_scores_gemma":[0.9998939,0.00003060376,0.00002308798,0.000004689249,0.00003377051,0.00001397179],"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":[0.00001783917,0.00003310236,0.00003570525,0.0001948848,0.000005548296,0.00004922055,0.00001086868,0.0003239118,0.9926142,0.0005596709,0.000142902,0.006012223],"study_design_scores_gemma":[0.000008192515,0.0001583173,0.0002421835,0.00001621254,0.00001264361,0.00009821062,0.00000748396,0.00226452,0.9863331,0.0001072758,0.01074583,0.000005999697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.784007,0.07440633,0.1030583,0.000813287,0.0008295238,0.000433264,0.0003118464,0.001027685,0.03511266],"genre_scores_gemma":[0.9349692,0.01267292,0.0404584,0.0001572807,0.00008069565,0.0001107733,0.0001259315,0.00008605702,0.01133885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001181384,"threshold_uncertainty_score":0.003952146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007908397454016895,"score_gpt":0.2182428806572935,"score_spread":0.2103344832032766,"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."}}