{"id":"W2127542207","doi":"10.1109/robot.2009.5152777","title":"Overcoming adhesion forces: Active release of micro objects in micromanipulation","year":2009,"lang":"en","type":"article","venue":"","topic":"Nanofabrication and Lithography Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Adhesion; Microelectromechanical systems; Mechanism (biology); Nanotechnology; Substrate (aquarium); Materials science; Biochip; Computer science; Mechanical engineering; Engineering; Physics; Composite material","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":[0.0003126999,0.0003307772,0.0003591675,0.0002192197,0.0002845977,0.0005702225,0.0007720098,0.0004064828,0.0005665341],"category_scores_gemma":[0.000397511,0.0002667972,0.0001988509,0.0001143999,0.0007611528,0.0008842414,0.0006923045,0.0004396333,0.0002509405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001762285,"about_ca_system_score_gemma":0.000113578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001655184,"about_ca_topic_score_gemma":0.0002570015,"domain_scores_codex":[0.9997523,0.00002472098,0.00001499268,0.00005229798,0.0001216873,0.00003393886],"domain_scores_gemma":[0.999755,0.0001251658,0.00005933573,0.00002583629,0.00001407084,0.00002061148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003569978,0.0000107477,0.00006339611,0.00008871227,0.000004283437,0.0001035035,0.0000791656,0.0003003846,0.9860743,0.001147767,0.00007544093,0.01201651],"study_design_scores_gemma":[0.00003970915,0.0002911944,0.0007272878,0.00001049724,0.00001989649,0.0004686784,0.00003786296,0.008787515,0.9824119,0.0006046524,0.006572124,0.0000286715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7069203,0.00750876,0.2782642,0.0006296524,0.0002026103,0.0001593765,0.00007337065,0.0007655729,0.005476085],"genre_scores_gemma":[0.8954153,0.002830733,0.09745717,0.0001700126,0.0001225501,0.0001059184,0.00003552332,0.00009437017,0.003768296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007720098,"threshold_uncertainty_score":0.001895249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008923896677896618,"score_gpt":0.2301240476966581,"score_spread":0.2212001510187615,"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."}}