{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003119264,0.0001380149,0.0002343841,0.00008081376,0.00005566137,0.00001670437,0.00009098726,0.00007484983,0.00003121083],"category_scores_gemma":[0.0004844035,0.0001128236,0.00003224186,0.0002989442,0.00007067594,0.0002186764,0.00004066534,0.000208379,0.0001241947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001981819,"about_ca_system_score_gemma":0.0002362722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009890372,"about_ca_topic_score_gemma":0.00005177959,"domain_scores_codex":[0.9983489,0.00008400129,0.0002537144,0.0002914908,0.0005912107,0.0004307191],"domain_scores_gemma":[0.9988237,0.00007609434,0.00007587906,0.0002868895,0.0001851803,0.000552233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001541296,0.0003795866,0.0280315,0.0005108803,0.00004610203,0.0001915602,0.0005481323,0.00004209023,0.5816169,0.0001072511,0.002322249,0.3846624],"study_design_scores_gemma":[0.003082034,0.001087573,0.002404357,0.0001489273,0.00002819822,0.00002028757,0.0003153734,0.001087533,0.3122461,0.0002653319,0.6790751,0.0002391435],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688509,0.02767784,0.0000271841,0.001206925,0.0002096889,0.0004099416,0.000007255376,0.0001309214,0.001479355],"genre_scores_gemma":[0.9973252,0.0008412073,0.0001774476,0.0004158401,0.0002039871,0.00005710893,0.0000141074,0.00003004357,0.0009350957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6767529,"threshold_uncertainty_score":0.4600814,"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."}}