{"id":"W2801606597","doi":"10.1039/c8en00189h","title":"Nanoparticle-induced structural changes in lung surfactant membranes: an X-ray scattering study","year":2018,"lang":"en","type":"article","venue":"Environmental Science Nano","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fonds de Recherche du Québec – Nature et Technologies; Université de Montréal; Concordia University","funders":"Argonne National Laboratory; Division of Chemistry; Division of Materials Research; Fonds de recherche du Québec – Nature et technologies","keywords":"Pulmonary surfactant; Cationic polymerization; Membrane; Nanoparticle; Chemical engineering; Scattering; Materials science; Lung; Small-angle X-ray scattering; Chemistry; Nanotechnology; Polymer chemistry; Medicine; Optics; Biochemistry; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002635625,0.0002374568,0.000130157,0.0001407491,0.000221062,0.0001992447,0.0001926567,0.0004587471,0.001380343],"category_scores_gemma":[0.0002024994,0.0002171053,0.0002887094,0.0001397091,0.0002664494,0.0002612521,0.0001801338,0.0004237494,0.0002760379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002413004,"about_ca_system_score_gemma":0.0001536932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001228207,"about_ca_topic_score_gemma":0.001039938,"domain_scores_codex":[0.9998724,0.00002450278,0.000008171603,0.00002105868,0.00004808322,0.00002577455],"domain_scores_gemma":[0.9998453,0.00005431477,0.00003524908,0.00001134553,0.00003935373,0.00001447021],"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":[0.00005812526,0.00001947773,0.0001717841,0.00001679952,0.000005415553,0.00003095816,0.00002517937,0.0001013801,0.999215,0.00003327463,0.00001993068,0.0003027401],"study_design_scores_gemma":[0.00001309306,0.0002209717,0.003860332,0.000003502162,0.00001141815,0.00008611565,0.00005768341,0.001591536,0.9937739,0.00003060161,0.0003436125,0.000007210636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979408,0.0005396213,0.0007243661,0.00004258123,0.00000905303,0.00001248465,0.00005945063,0.00001386813,0.0006578022],"genre_scores_gemma":[0.9980091,0.0004003263,0.0005775688,0.00003190358,0.000005417546,0.000009306544,0.00007587428,0.000006443652,0.0008840689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001380343,"threshold_uncertainty_score":0.004617751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01892692725029393,"score_gpt":0.2852218896920734,"score_spread":0.2662949624417795,"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."}}