{"id":"W1977394755","doi":"10.1529/biophysj.105.075614","title":"Soft Trapping and Manipulation of Cells Using a Disposable Nanoliter Biochamber","year":2006,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Microstructural Sciences; Western University","funders":"","keywords":"Pipette; Microbubbles; Bubble; Optical tweezers; Materials science; Nanotechnology; Trapping; Laser; Trap (plumbing); Biomedical engineering; Chemistry; Optics; Acoustics; Biology; Computer science; Ultrasound; Physics","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":[0.00004042573,0.00008755026,0.0001243789,0.00006481913,0.00004924778,0.00003256366,0.00004244549,0.00006888703,0.000004729636],"category_scores_gemma":[0.000002107754,0.00007197411,0.0000465155,0.00009621837,0.0000630137,0.00007943514,0.00001790731,0.0001056182,0.000002097228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002194617,"about_ca_system_score_gemma":0.000004711268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001401821,"about_ca_topic_score_gemma":3.305497e-7,"domain_scores_codex":[0.9995257,0.00000708895,0.0001724477,0.00006837778,0.00008050588,0.0001459024],"domain_scores_gemma":[0.9998411,0.0000106948,0.00003912785,0.00006303734,0.00002267185,0.00002338506],"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":[0.000003541604,0.0000155015,0.0001325191,0.00002172967,0.000008769308,0.000005237073,0.00001727641,0.0003472115,0.9975305,0.0001779133,0.0003777341,0.001362036],"study_design_scores_gemma":[0.0001467956,0.00001837914,0.001269444,0.00006174447,0.00001709503,0.00006819968,0.000024601,0.02905049,0.9683131,0.0005609575,0.00036034,0.0001088407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783268,0.0002342114,0.02112254,0.00002507623,0.0001053854,0.00002996133,0.000002932957,0.00007173514,0.00008137084],"genre_scores_gemma":[0.997451,0.00004540705,0.002319633,0.000005010461,0.0001492879,1.403869e-7,9.734597e-7,0.00001117461,0.00001738442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02921741,"threshold_uncertainty_score":0.2935019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227603546779212,"score_gpt":0.2013052948575289,"score_spread":0.1890292593897368,"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."}}