{"id":"W4234429171","doi":"10.1090/crmm/010/02","title":"Vector bundles","year":2016,"lang":"en","type":"book-chapter","venue":"CRM monograph series","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Vector (molecular biology); Biology; Genetics","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":[0.0002751495,0.0009055212,0.0004379567,0.00148311,0.0008120415,0.003337491,0.0005155826,0.0004623463,0.04595074],"category_scores_gemma":[0.0005972813,0.0002572239,0.000250339,0.001265532,0.001392747,0.002514741,0.001134474,0.001811882,0.01541773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009214898,"about_ca_system_score_gemma":0.0006281925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000870022,"about_ca_topic_score_gemma":0.0008700664,"domain_scores_codex":[0.9997157,0.00005237832,0.00001168502,0.00006645026,0.0001280438,0.00002578435],"domain_scores_gemma":[0.9998443,0.00002439375,0.00001610043,0.00002508132,0.0000621648,0.00002787552],"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":[0.000006977147,0.00001050317,0.00004968293,0.00005288866,0.000005096194,0.00001395598,0.000109602,0.0001639204,0.0004511814,0.915132,0.04216916,0.04183511],"study_design_scores_gemma":[0.000006735819,0.00001351705,0.0002484602,0.00004900826,0.000005138445,0.000110414,0.00008733394,0.0005302067,0.000375552,0.6041663,0.3943999,0.000007474382],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005216959,0.009099972,0.03949712,0.002035052,0.002155437,0.00003683573,0.0008128862,0.0003793783,0.9407663],"genre_scores_gemma":[0.1047793,0.0152862,0.02095097,0.0007545145,0.002627999,0.0001273195,0.001909144,0.0005069469,0.8530574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04595074,"threshold_uncertainty_score":0.1537206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006284608530638639,"score_gpt":0.1712246413872267,"score_spread":0.1649400328565881,"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."}}