{"id":"W2272542063","doi":"10.1007/s00216-016-9330-5","title":"Spherical silver nanoparticles in the detection of thermally denatured collagens","year":2016,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Chemistry; Recombinant DNA; Nanoparticle; Silver nanoparticle; Collagen fibril; Type I collagen; Chromatography; Biophysics; Nuclear chemistry; Nanotechnology; Biochemistry; Materials science; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002701996,0.0001092824,0.0001748251,0.00001723129,0.00004829125,0.00004067161,0.0001380132,0.0001166282,0.0008693828],"category_scores_gemma":[0.0002056672,0.00005576003,0.00006343293,0.0002759401,0.0002729713,0.00008677824,0.00003882926,0.00007579687,0.00002505927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002681213,"about_ca_system_score_gemma":0.00002693544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008994627,"about_ca_topic_score_gemma":0.00001721371,"domain_scores_codex":[0.9989465,0.00005401946,0.0002991724,0.0002363644,0.0002600366,0.0002038752],"domain_scores_gemma":[0.9994074,0.000212971,0.00006329867,0.0001705459,0.00005836565,0.00008739938],"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":[0.00007973512,0.00009360447,0.0009233216,0.0000168676,0.000006967292,0.000009818016,0.0000273963,4.541503e-7,0.9965611,0.0001776845,0.00002204376,0.002080991],"study_design_scores_gemma":[0.0003639997,0.00003656016,0.02361251,0.00002141225,0.00004855498,0.00002540101,0.0001320275,0.0008232704,0.9735237,0.0002519461,0.001042049,0.0001185828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966272,0.00004967543,0.0002857774,0.001858658,0.0000266373,0.00006100094,0.000008983652,0.00001733801,0.001064725],"genre_scores_gemma":[0.9992688,0.00002857023,0.00003347921,0.0001678483,0.00006599684,0.000004508627,0.000001218132,0.000005197009,0.0004244324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02303743,"threshold_uncertainty_score":0.9519131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103774011373674,"score_gpt":0.2291345581539055,"score_spread":0.2187571570165381,"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."}}