{"id":"W2040129062","doi":"10.1038/nnano.2011.108","title":"Building a basic nanomachine","year":2011,"lang":"en","type":"letter","venue":"Nature Nanotechnology","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Nanotechnology; 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":[0.0009044076,0.000537593,0.0005131212,0.0002881805,0.001057255,0.001272216,0.00107468,0.003276615,0.005340049],"category_scores_gemma":[0.0015481,0.0005651606,0.0003593901,0.0001753276,0.002109535,0.00467846,0.002233163,0.004585228,0.004147106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006876322,"about_ca_system_score_gemma":0.0005528669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001927509,"about_ca_topic_score_gemma":0.0003146434,"domain_scores_codex":[0.9995939,0.00006158564,0.00002446859,0.00005660262,0.000208766,0.00005471714],"domain_scores_gemma":[0.9994861,0.0001940814,0.00001833342,0.0001348041,0.00008867216,0.00007800649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003262144,0.0002015136,0.0006057647,0.00104171,0.00005939645,0.001571551,0.0005311916,0.002613312,0.2459391,0.449342,0.1399212,0.157847],"study_design_scores_gemma":[0.00005990252,0.0001399303,0.0001770123,0.00004565296,0.00001392637,0.0007131242,0.000100373,0.003752857,0.07472377,0.1411216,0.7791127,0.00003914621],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.08224768,0.05905978,0.4080348,0.2255948,0.04779273,0.0004008133,0.0006056566,0.005907704,0.170356],"genre_scores_gemma":[0.4611621,0.01980819,0.3747537,0.05760348,0.007243504,0.0006987537,0.0004181021,0.0006476198,0.07766456],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005340049,"threshold_uncertainty_score":0.01786423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004290873991153455,"score_gpt":0.2169693680553239,"score_spread":0.2126784940641704,"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."}}