{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009463755,0.000148245,0.0001403196,0.00008720915,0.0001716272,0.00009620184,0.00009340814,0.00005414244,0.00004063695],"category_scores_gemma":[0.00002920658,0.0001366213,0.00005263584,0.00008786267,0.00005659755,0.0001331058,0.00003546324,0.00004496976,0.00002448169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001941123,"about_ca_system_score_gemma":0.00000913694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004306479,"about_ca_topic_score_gemma":0.000001098948,"domain_scores_codex":[0.9992212,0.00001565687,0.0001600603,0.0002461328,0.0001094106,0.0002475509],"domain_scores_gemma":[0.9996113,0.00005336757,0.00005429491,0.0001482288,0.00005618496,0.00007666698],"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":[0.00003439104,0.00001282419,0.0000364552,0.00003796874,0.000005564938,0.000001821555,0.00009171757,0.00002744686,0.9987015,0.0001371783,0.00003473798,0.0008783784],"study_design_scores_gemma":[0.0003113894,0.0001465241,0.0001814713,0.0000510508,0.00001904742,0.00002186955,0.00001148968,0.007374257,0.9853396,0.000009322604,0.006350339,0.000183591],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622977,0.0008763779,0.03580524,0.0001588405,0.0003128096,0.0002221681,0.00001223112,0.0001867623,0.0001279081],"genre_scores_gemma":[0.9922112,0.000004110857,0.007267843,0.0001599124,0.0001415063,0.00004923654,0.000008335364,0.00003265869,0.0001252489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02991349,"threshold_uncertainty_score":0.5571255,"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."}}