{"id":"W2953330751","doi":"10.1002/smtd.201900082","title":"Nanoscopic Stoichiometry and Single‐Molecule Counting","year":2019,"lang":"en","type":"article","venue":"Small Methods","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"College of Family Physicians of Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Nanoscopic scale; Stoichiometry; Nanotechnology; Benchmarking; Microscopy; Focus (optics); Computer science; Biological system; Materials science; Chemistry; Physics; Optics; Biology; Physical chemistry","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":[0.0004063314,0.0001523125,0.0001617087,0.00006578209,0.00004872488,0.00002942378,0.000161685,0.0001529932,0.00001802033],"category_scores_gemma":[0.0001867144,0.0001522814,0.00004061273,0.0001315017,0.00008010649,0.000004306701,0.0001941821,0.0001105484,0.000005103756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001486517,"about_ca_system_score_gemma":0.0000269335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006521283,"about_ca_topic_score_gemma":0.000003815741,"domain_scores_codex":[0.9989994,0.0001311822,0.0001549588,0.000400003,0.00006217145,0.0002522547],"domain_scores_gemma":[0.9994351,0.00003131136,0.00007442167,0.0003522264,0.00005131507,0.00005557317],"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":[0.00001463798,0.00001775335,0.00742219,0.00002872916,0.00001157475,8.395406e-7,0.00001656332,0.000001338934,0.9792048,0.0000897377,0.00004638554,0.01314544],"study_design_scores_gemma":[0.000177744,0.0002503301,0.001236398,0.00002617115,0.000007629184,0.00001069751,0.0000358459,0.00002615135,0.9820061,0.0002059041,0.01583381,0.0001832464],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6585233,0.001267644,0.3383482,0.00002468166,0.0001415542,0.0001770412,0.000004296484,0.00003966956,0.001473647],"genre_scores_gemma":[0.1637053,0.00007108794,0.8351611,0.0003222455,0.00006498033,0.00001151584,0.00001522184,0.00003452191,0.000614055],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4968129,"threshold_uncertainty_score":0.6209856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01514503313918562,"score_gpt":0.3351227416020994,"score_spread":0.3199777084629138,"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."}}