{"id":"W2065369277","doi":"10.1021/nn403760q","title":"Dielectrophoretic Sorting of Membrane Protein Nanocrystals","year":2013,"lang":"en","type":"article","venue":"ACS Nano","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"National Institute of General Medical Sciences; University of California, San Francisco; National Institutes of Health","keywords":"Protein crystallization; Dielectrophoresis; Microfluidics; Materials science; Crystallization; Membrane; Sorting; Femtosecond; Crystallinity; Nanotechnology; Nanocrystal; Nanometre; Chemical engineering; Chemistry; Computer science; Optics","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":[0.0001296956,0.0001477035,0.0001956646,0.000112361,0.0001603945,0.0003374056,0.0002606371,0.0002797151,0.0005583754],"category_scores_gemma":[0.0001964853,0.00009744026,0.0001162074,0.00009198416,0.0001969832,0.0002192814,0.0001538316,0.0002493623,0.0003282452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008121518,"about_ca_system_score_gemma":0.000369933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00117335,"about_ca_topic_score_gemma":0.001680025,"domain_scores_codex":[0.9998997,0.000007009572,0.000005042439,0.00002978209,0.00004042985,0.00001801585],"domain_scores_gemma":[0.9999233,0.00002935194,0.00001192316,0.000009707549,0.00001773265,0.000007940256],"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":[0.00001932039,0.00001249177,0.00009951392,0.00001713971,0.000002205874,0.00002969709,0.00001788401,0.0003018537,0.996372,0.0008494393,0.0001010006,0.002177378],"study_design_scores_gemma":[0.000007025351,0.00002394605,0.0002533757,0.000001680571,0.000001379696,0.00002686018,0.000009723568,0.007422186,0.9908814,0.0001135548,0.001254999,0.000003890831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649177,0.0006568037,0.02924798,0.0002672923,0.00007010056,0.00005314378,0.0002050876,0.0001968998,0.00438506],"genre_scores_gemma":[0.9547346,0.0005118695,0.03887451,0.0001307805,0.00001384976,0.00007769268,0.0002068709,0.00004411846,0.00540562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00117335,"threshold_uncertainty_score":0.005892634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005816335271856214,"score_gpt":0.1765465427468161,"score_spread":0.1707302074749599,"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."}}