{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002004365,0.00007512709,0.00006674616,0.0000760089,0.00005501703,0.00004686992,0.0001069833,0.00003450674,0.0000051862],"category_scores_gemma":[0.00001455138,0.0000589314,0.000006234856,0.0002302636,0.0002168157,0.00009201747,0.00003208438,0.0000660611,0.00002378112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006429612,"about_ca_system_score_gemma":0.00002046412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005640961,"about_ca_topic_score_gemma":0.000003174451,"domain_scores_codex":[0.9993395,0.000002814887,0.0000722886,0.0001407789,0.0002559383,0.0001887147],"domain_scores_gemma":[0.9997326,0.000004701733,0.00001174774,0.0001690137,0.00004830673,0.00003364206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001902993,0.000006394223,0.005551092,0.00002794026,0.00000256724,0.00000204283,0.00008003721,0.0447814,0.9382608,0.0006322472,0.00008511046,0.01056845],"study_design_scores_gemma":[0.0004660259,0.0002454243,0.01928203,0.0001177697,0.00002324475,0.00003212014,0.0005650586,0.5153278,0.4619434,0.0003623666,0.001205808,0.0004290117],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961651,0.001108475,0.03565273,0.000195729,0.0002079492,0.0002219788,4.024231e-7,0.0003467521,0.0006150419],"genre_scores_gemma":[0.9827031,0.00005828196,0.01717964,0.000009956438,0.00000606294,5.75234e-7,3.034212e-7,0.000006928711,0.00003518321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4763174,"threshold_uncertainty_score":0.2403153,"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."}}