{"id":"W2921682485","doi":"10.1126/scirobotics.aav6180","title":"Intracellular manipulation and measurement with multipole magnetic tweezers","year":2019,"lang":"en","type":"article","venue":"Science Robotics","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Multipole expansion; Magnetic tweezers; Tweezers; Intracellular; Optical tweezers; Physics; Biology; Cell biology; Optics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003075304,0.0003744305,0.0003278852,0.0002361209,0.000279445,0.0003511638,0.0004244836,0.0004165296,0.0004325647],"category_scores_gemma":[0.0006543298,0.0001630066,0.0001110913,0.0001765417,0.0004311452,0.0003850209,0.0006433284,0.0005231794,0.0002226141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003261695,"about_ca_system_score_gemma":0.0002225674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006592291,"about_ca_topic_score_gemma":0.0009844918,"domain_scores_codex":[0.9995909,0.00003772911,0.000025162,0.0001060005,0.0002044725,0.00003578445],"domain_scores_gemma":[0.9996659,0.00009750103,0.00008086218,0.00005741725,0.00007682251,0.00002144245],"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":[0.00001425749,0.000006035322,0.00007580136,0.00004033035,0.000002081678,0.00002364408,0.0000281562,0.0005582006,0.9935058,0.0002793712,0.00006285358,0.005403426],"study_design_scores_gemma":[0.00000974431,0.0001062672,0.0007429919,0.000006016443,0.000007419191,0.00007436458,0.00002293197,0.01651046,0.9796104,0.0002705949,0.002621292,0.0000175607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3701495,0.002073367,0.6233523,0.000474232,0.0001564901,0.0001711418,0.0002261629,0.0009663802,0.002430483],"genre_scores_gemma":[0.7370199,0.001072413,0.2594796,0.0001097009,0.00004831194,0.0002328296,0.0001147309,0.00004063903,0.001881902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006592291,"threshold_uncertainty_score":0.002366543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189643841606872,"score_gpt":0.1751538628746185,"score_spread":0.1632574244585498,"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."}}