{"id":"W2157955011","doi":"10.1016/j.nano.2014.03.005","title":"Binomial distribution for quantification of protein subunits in biological Nanoassemblies and functional nanomachines","year":2014,"lang":"en","type":"article","venue":"Nanomedicine Nanotechnology Biology and Medicine","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Computational biology; Chemistry; Nanotechnology; Biology; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009213186,0.0006341391,0.001031322,0.002724888,0.0009931953,0.001069215,0.001496778,0.001961115,0.004688099],"category_scores_gemma":[0.01896969,0.000644922,0.0008043668,0.001406956,0.001956081,0.002253335,0.001236589,0.001395207,0.001229306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001117093,"about_ca_system_score_gemma":0.0006188163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001078147,"about_ca_topic_score_gemma":0.0008987058,"domain_scores_codex":[0.9957135,0.002104082,0.0001645764,0.0007739665,0.0008773737,0.0003664553],"domain_scores_gemma":[0.9806379,0.01597769,0.001004998,0.00127353,0.0007831112,0.0003227245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002815545,0.0005059866,0.04907723,0.000847684,0.0004210031,0.00193841,0.00125368,0.2908432,0.1406739,0.387132,0.007681015,0.1168103],"study_design_scores_gemma":[0.00004497031,0.0001034595,0.006742597,0.00003794138,0.00002670747,0.0007256898,0.00009945046,0.9322714,0.01933595,0.03868695,0.001845662,0.00007919391],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1759456,0.0007850204,0.8169366,0.0002259759,0.00009254463,0.0002210842,0.0008424895,0.001851644,0.003099041],"genre_scores_gemma":[0.8438265,0.000489049,0.1459753,0.0002560121,0.0000953425,0.0008837061,0.00207609,0.0003115092,0.0060864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009213186,"threshold_uncertainty_score":0.04872453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02168211021637314,"score_gpt":0.2522226654521139,"score_spread":0.2305405552357408,"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."}}