{"id":"W1993279493","doi":"10.1039/c4ra17006g","title":"Lipid monolayer disruption caused by aggregated carbon nanoparticles","year":2015,"lang":"en","type":"article","venue":"RSC Advances","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; Canadian Nautical Research Society; University of Waterloo","funders":"Kasetsart University Research and Development Institute; Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail; Kasetsart University; Chulalongkorn University; Institut National de la Santé et de la Recherche Médicale","keywords":"Monolayer; Pulmonary surfactant; Carbon Nanoparticles; Nanoparticle; Chemistry; Carbon fibers; Chemical engineering; Biophysics; Nanotechnology; Materials science; Biochemistry; Biology; Composite material","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":[0.00009668131,0.000249753,0.0001080125,0.0001339894,0.0001593962,0.0001775361,0.0001337748,0.0003635088,0.0005546874],"category_scores_gemma":[0.000160781,0.00009030631,0.0001344255,0.000116787,0.0002059139,0.000187214,0.0001945688,0.0003040296,0.0001209367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003215555,"about_ca_system_score_gemma":0.0001569593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001425508,"about_ca_topic_score_gemma":0.001127293,"domain_scores_codex":[0.9998883,0.00001529006,0.000006954904,0.00002451748,0.00003548681,0.00002939253],"domain_scores_gemma":[0.999909,0.00001982439,0.00003114576,0.000008296792,0.00001744997,0.0000143521],"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":[0.00008226528,0.000009949654,0.0001384531,0.00002769978,0.000005856774,0.00009336673,0.00001395907,0.0000946335,0.9988135,0.00005240941,0.00004872732,0.0006192163],"study_design_scores_gemma":[0.000005748735,0.0001094163,0.001491338,0.000002968976,0.000008491715,0.00008678804,0.00001796455,0.0006487005,0.9971674,0.00003015539,0.000428113,0.000003079701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968363,0.001039385,0.0008292004,0.00008534233,0.00004190739,0.00001449961,0.0000726051,0.0000256995,0.001055042],"genre_scores_gemma":[0.9984555,0.0003405694,0.0004170138,0.00004485963,0.000005211652,0.000007805589,0.0000689083,0.000004778105,0.0006552312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001425508,"threshold_uncertainty_score":0.002834439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05548173686848747,"score_gpt":0.3767930875695198,"score_spread":0.3213113507010324,"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."}}