{"id":"W4405268142","doi":"10.1017/9781108963961.004","title":"Natural Biological Nanomachines","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Natural (archaeology); Biochemical engineering; Biology; Engineering; Paleontology","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":[0.0001555452,0.0004856766,0.0003139018,0.0004183769,0.0005416759,0.001264765,0.0005907763,0.0005942423,0.03769385],"category_scores_gemma":[0.0002910141,0.0003524862,0.0002281003,0.0004086603,0.0008566835,0.002119004,0.0007880571,0.001524358,0.02099167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006852255,"about_ca_system_score_gemma":0.0004368609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002714614,"about_ca_topic_score_gemma":0.0009421261,"domain_scores_codex":[0.9997802,0.00001963239,0.000007713285,0.0000452098,0.000132682,0.00001456328],"domain_scores_gemma":[0.9999224,0.0000290731,0.000005394378,0.000009464143,0.00002567102,0.000008010786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004667892,0.00005784877,0.0001210353,0.001886922,0.00001406608,0.0003193984,0.0007872113,0.0009373003,0.1113674,0.4954874,0.112981,0.2759939],"study_design_scores_gemma":[0.000001033018,0.000008309047,0.00003224752,0.00006152356,0.000001308754,0.000167999,0.0000329201,0.00008782698,0.005494033,0.01011985,0.9839891,0.000003892805],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004805317,0.1017227,0.05563001,0.00292161,0.006073277,0.0001365711,0.0004711639,0.000764278,0.8274751],"genre_scores_gemma":[0.0290325,0.07185729,0.03862396,0.002399484,0.0007894705,0.0002001762,0.0006003953,0.0003141267,0.8561826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03769385,"threshold_uncertainty_score":0.1260985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288496535645336,"score_gpt":0.1781981482548976,"score_spread":0.1553131828984442,"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."}}