{"id":"W4254219847","doi":"10.1063/1.4874306.1","title":"10.1063/1.4874306.1","year":2014,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Millimeter; Robotics; Magnetic field; Robot; Propulsion; Deformation (meteorology); Reynolds number; Scaling; Scale (ratio); Measure (data warehouse); Computer science; Mechanical engineering; Physics; Acoustics; Artificial intelligence; Engineering; Aerospace engineering; Mechanics; Mathematics; Geometry; Optics; Meteorology; Turbulence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007522781,0.003599294,0.002320526,0.004240144,0.0009043734,0.003253107,0.00397296,0.002940213,0.248293],"category_scores_gemma":[0.002812476,0.000650989,0.001213633,0.008591718,0.0005486743,0.001866685,0.002903871,0.001631835,0.5149418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120583,"about_ca_system_score_gemma":0.001318763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01576684,"about_ca_topic_score_gemma":0.01759719,"domain_scores_codex":[0.9989839,0.0001380757,0.00009745998,0.0002873521,0.0002916913,0.0002015643],"domain_scores_gemma":[0.9993913,0.00009467894,0.00005814051,0.0002396948,0.0001410551,0.00007511695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005109931,0.00003405182,0.001040212,0.0007110714,0.00003473624,0.00004177232,0.00001784483,0.0006027583,0.0001152206,0.0005035655,0.9850328,0.01181489],"study_design_scores_gemma":[0.00008792775,0.00001903251,0.001970107,0.0002105842,0.00001668,0.00006294325,0.00005728873,0.001032731,0.0003187505,0.002127137,0.9940743,0.00002255021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002031656,0.0002646965,0.000247381,0.0001388326,0.00006144242,0.00002159763,0.9947236,0.001848411,0.002490979],"genre_scores_gemma":[0.0005850803,0.0001916409,0.0002932643,0.00004958085,0.00001331971,0.00006174699,0.9970323,0.0001039177,0.001669255],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.751707,"threshold_uncertainty_score":0.8306228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005710697628553007,"score_gpt":0.2212442137281639,"score_spread":0.2155335160996109,"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."}}