{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007027765,0.0003291634,0.0003340737,0.0006106808,0.0003801771,0.0007868925,0.0009050799,0.0004583791,0.00198857],"category_scores_gemma":[0.001773551,0.0003622565,0.000166364,0.0003562726,0.0008047175,0.000826872,0.0007405599,0.000934853,0.001011468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000948652,"about_ca_system_score_gemma":0.0004304838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006966392,"about_ca_topic_score_gemma":0.001019198,"domain_scores_codex":[0.9992988,0.0001210402,0.00003718548,0.0001653554,0.0003314331,0.00004617839],"domain_scores_gemma":[0.9991806,0.0003376933,0.0001177494,0.000136118,0.0001904041,0.00003730831],"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":[0.00008220186,0.00002795561,0.0009308844,0.0002095446,0.00001208612,0.0001184549,0.0001041355,0.00504529,0.8945287,0.05496515,0.002772782,0.04120295],"study_design_scores_gemma":[0.00001130957,0.00004585988,0.0008075829,0.00003359039,0.000006169371,0.0001533423,0.00003901458,0.09259639,0.8815791,0.01088214,0.01381143,0.00003399642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1123466,0.002225469,0.8667978,0.0008357479,0.0004675372,0.0001434578,0.0006538563,0.002022507,0.01450704],"genre_scores_gemma":[0.6134413,0.001805093,0.3750433,0.0003333147,0.0001134454,0.0003532312,0.0003471021,0.0002691639,0.008294023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00198857,"threshold_uncertainty_score":0.006882966,"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."}}