{"id":"W2102646692","doi":"10.1016/j.colsurfa.2014.05.033","title":"Preparation and characterization of linseed oil-filled urea–formaldehyde microcapsules and their effect on mechanical properties of an epoxy-based coating","year":2014,"lang":"en","type":"article","venue":"Colloids and Surfaces A Physicochemical and Engineering Aspects","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":112,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Iran Polymer and Petrochemical Institute; Iran National Science Foundation","keywords":"Materials science; Ultimate tensile strength; Coating; Linseed oil; Epoxy; Composite material; Particle size; Urea-formaldehyde; Optical microscope; Dynamic mechanical analysis; Scanning electron microscope; Polymer; Chemical engineering; Adhesive; Chemistry; Layer (electronics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001705546,0.0001550213,0.0003192864,0.00003218657,0.00006615292,0.00005152616,0.00004269447,0.00005889336,5.127716e-7],"category_scores_gemma":[0.00002829699,0.0001133591,0.00002083963,0.00005677416,0.00005895575,0.0001105718,0.00003725673,0.00005645415,7.204991e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005241428,"about_ca_system_score_gemma":0.000008104489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002455293,"about_ca_topic_score_gemma":0.000001237883,"domain_scores_codex":[0.9993364,0.00003359313,0.0001955385,0.0002149954,0.00008077009,0.0001386566],"domain_scores_gemma":[0.9996379,0.00008812653,0.00008137821,0.00008721145,0.00002751623,0.00007788966],"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":[0.0001222532,0.00003597539,0.00003975527,0.0004245605,0.000007762376,1.106259e-7,0.0003065961,0.000308915,0.9978157,0.0001885392,1.261442e-7,0.0007496824],"study_design_scores_gemma":[0.0004038467,0.0004047636,0.0005245122,0.0002127414,0.00001282264,0.000002091289,0.00001517928,0.1950943,0.8032027,0.00001747324,0.000003742192,0.0001058631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992993,0.0002929032,0.0002108945,0.00001914418,0.00003011667,0.00009016488,0.00001113182,0.00003486912,0.00001144995],"genre_scores_gemma":[0.999432,0.00002857932,0.0004620437,0.00001324479,0.00003149859,0.00000767672,0.00001155031,0.00001100937,0.000002429006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1947853,"threshold_uncertainty_score":0.462265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004932486111641805,"score_gpt":0.1880199604534519,"score_spread":0.1830874743418101,"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."}}