{"id":"W3143693417","doi":"10.3390/coatings11040382","title":"Engineered Nanomaterials for Aviation Industry in COVID-19 Context: A Time-Sensitive Review","year":2021,"lang":"en","type":"review","venue":"Coatings","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Aerospace; Aviation; Automotive industry; Context (archaeology); Coronavirus disease 2019 (COVID-19); Engineering; Manufacturing engineering; Aerospace engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001072725,0.0002995289,0.001663593,0.00007963605,0.00009915287,0.0001200494,0.000240442,0.0004828057,0.000774487],"category_scores_gemma":[0.002546971,0.0002654873,0.0002323132,0.0003624526,0.00004454108,0.000100256,0.00008049583,0.0001975603,0.0002974947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000229293,"about_ca_system_score_gemma":0.0006157258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002630695,"about_ca_topic_score_gemma":0.00000449722,"domain_scores_codex":[0.9977494,0.000306529,0.0009753947,0.0005208825,0.0001573258,0.0002904968],"domain_scores_gemma":[0.9978617,0.0008638203,0.0006291873,0.0003842622,0.0001207136,0.0001403278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009141175,0.0002142118,7.219174e-7,0.1042498,0.00004538797,0.00002421251,0.0003903427,0.000002191246,0.1614017,0.003993913,0.02727086,0.7023976],"study_design_scores_gemma":[0.0001846372,0.0000163951,1.765631e-7,0.0522993,0.0003040904,0.0000239271,0.00003851263,0.000006643888,0.01301218,0.00004628994,0.9337161,0.000351793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001908639,0.9961538,0.0002875922,0.0003551373,0.0001182499,0.002336775,0.0004384948,0.00007302262,0.00004611928],"genre_scores_gemma":[0.000121852,0.9953573,0.0008833687,0.0008503384,0.0001391734,0.002045273,0.0003195542,0.00004649632,0.0002366878],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9064452,"threshold_uncertainty_score":0.9999797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06727873343709123,"score_gpt":0.3606596181449873,"score_spread":0.293380884707896,"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."}}