{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001114443,0.0006794204,0.0007357917,0.0001711115,0.0001427011,0.0005797495,0.0007133752,0.0002910356,0.0088084],"category_scores_gemma":[0.00002719543,0.0006279848,0.000482912,0.000238634,0.0001033094,0.000289096,0.0003058711,0.0005510756,0.02522208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004950862,"about_ca_system_score_gemma":0.00009506728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002081396,"about_ca_topic_score_gemma":0.00001607786,"domain_scores_codex":[0.997667,0.00004043943,0.000546162,0.0006849124,0.0003841307,0.0006773874],"domain_scores_gemma":[0.9981518,0.0001608412,0.0003319021,0.001035037,0.00008428371,0.0002361024],"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":[0.00002123522,0.0002101916,0.00003939795,0.00006359928,0.0001503678,0.00001113746,0.000005852457,0.000007084978,0.000005826469,0.0001549196,0.9921308,0.007199586],"study_design_scores_gemma":[0.0004800935,0.0001522939,0.00001532185,0.00007891873,0.0001040589,0.000005663818,0.00001517707,0.00001575311,0.00003421475,0.0004857264,0.9978657,0.0007470269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006342242,0.00007974963,0.0004845618,0.0000141977,0.0004771638,0.000274452,0.9641429,0.00007001781,0.03439352],"genre_scores_gemma":[0.002681435,0.000005173332,0.00003829996,0.00008923598,0.001813846,0.00003045112,0.9806496,0.00007131624,0.01462067],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01977284,"threshold_uncertainty_score":0.9996172,"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."}}