{"id":"W4200588334","doi":"10.1002/mame.202100821","title":"Glycerol‐Based Polyurethane Nanoparticles Reduce Friction and Wear of Lubricant Formulations","year":2021,"lang":"en","type":"article","venue":"Macromolecular Materials and Engineering","topic":"Lubricants and Their Additives","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Max-Planck-Gesellschaft","keywords":"Lubricant; Nanocarriers; Materials science; Glycerol; Chemical engineering; Tribology; Nanotechnology; Friction modifier; Surface energy; Nanoparticle; Composite material; Organic chemistry; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000848909,0.0002316804,0.0001343281,0.0001674749,0.00006835895,0.0001515213,0.0001370175,0.000140753,0.0007769283],"category_scores_gemma":[0.0001975132,0.00008179677,0.000133255,0.00008360686,0.0001107459,0.0002219143,0.0001387835,0.0002320738,0.0001091539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000167306,"about_ca_system_score_gemma":0.0001490417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001163488,"about_ca_topic_score_gemma":0.00176497,"domain_scores_codex":[0.9999263,0.00001046673,0.000006264384,0.0000123743,0.00002610706,0.00001834387],"domain_scores_gemma":[0.9999216,0.00002085095,0.00002358468,0.000005662363,0.00001846998,0.000009801674],"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":[0.0001128653,0.00002581612,0.00007076521,0.00007332003,0.00000716134,0.00002573616,0.0000232827,0.0001622909,0.9961659,0.00007298272,0.00005410251,0.003205884],"study_design_scores_gemma":[0.000003405414,0.0001361578,0.0002439649,0.000005742103,0.000009477237,0.00001575115,0.00001082605,0.0007967065,0.9980653,0.00001007505,0.000700552,0.000001929171],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994678,0.001853693,0.002370438,0.00004796183,0.00002865902,0.00002022141,0.00005093726,0.0000450402,0.0009049207],"genre_scores_gemma":[0.9962535,0.0006327657,0.001658366,0.00002241984,0.000003262034,0.00001259007,0.00004594688,0.00001261765,0.001358536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001163488,"threshold_uncertainty_score":0.002599061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005840691789508158,"score_gpt":0.1872356823317156,"score_spread":0.1813949905422075,"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."}}