{"id":"W4256364728","doi":"10.25071/10315/35224","title":"Dry Surface Micromanipulation Using An Untethered And Magnetic Microrobot","year":2018,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering","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":"Magnetic separation; Materials science; Computer science; Metallurgy","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":[],"consensus_categories":[],"category_scores_codex":[0.0001310854,0.0001368923,0.000138026,0.00009143803,0.00006177492,0.00005490587,0.0001049498,0.00006589259,0.0001114083],"category_scores_gemma":[0.000003566116,0.0001562569,0.00002070186,0.000156091,0.00003190094,0.00009171291,0.00002717348,0.000128206,0.000005557374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008899809,"about_ca_system_score_gemma":0.00008855108,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03663778,"about_ca_topic_score_gemma":0.01610669,"domain_scores_codex":[0.9991091,0.00001839422,0.0001699332,0.0002237752,0.00005477354,0.0004239948],"domain_scores_gemma":[0.9994899,0.00001363723,0.00002480172,0.0001460392,0.00002996279,0.0002956471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005579719,0.0003456381,0.4429421,0.000233219,0.0001429604,0.00008523237,0.00184906,0.03535653,0.2962684,0.08241151,0.00004758963,0.140262],"study_design_scores_gemma":[0.0006511089,0.0001408622,0.007350561,0.0001356223,0.00002804069,0.000005506712,0.00007564071,0.9663836,0.02278089,0.0007088481,0.001195902,0.0005433661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881306,0.0004360841,0.0109379,0.00005516889,0.0001825127,0.0001691727,0.0000124557,0.00002450309,0.00005164694],"genre_scores_gemma":[0.9736416,0.000001300107,0.02612237,0.00002594339,0.000155886,0.000002666878,0.000009756834,0.00002938085,0.00001108508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9310271,"threshold_uncertainty_score":0.9697773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492910401565197,"score_gpt":0.2453054162291962,"score_spread":0.2303763122135442,"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."}}