{"id":"W2745017788","doi":"10.1039/c7lc00653e","title":"Microparticle parking and isolation for highly sensitive microRNA detection","year":2017,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; Samsung; National Institutes of Health","keywords":"Microfluidics; Microparticle; Dispersity; Nanotechnology; Particle (ecology); Chemistry; Materials science; Biological system; Chromatography; Chemical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001561367,0.00009631203,0.00008694913,0.00005390346,0.000241001,0.0000753648,0.00005478171,0.00005946881,0.000001491487],"category_scores_gemma":[0.00004032865,0.00009897017,0.00001809035,0.0000528923,0.00004350505,0.0001282853,0.00001743047,0.00008432085,0.000007336771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005096317,"about_ca_system_score_gemma":0.000004452555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007806006,"about_ca_topic_score_gemma":0.000001932538,"domain_scores_codex":[0.9995617,0.000006255239,0.0001286269,0.0001302575,0.00003764967,0.0001355605],"domain_scores_gemma":[0.999662,0.00002110235,0.00005796937,0.0001794737,0.00006618888,0.00001331108],"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":[0.00002527795,0.000005619734,0.0001420553,0.00002235024,0.00001222399,5.916099e-7,0.000137382,0.0000027376,0.9640667,0.002175097,0.0003746975,0.03303527],"study_design_scores_gemma":[0.0003542779,0.00005469723,0.007643081,0.00003299379,0.000007548288,0.0000058207,0.00002308105,0.003402723,0.9824464,0.0006831865,0.005226982,0.0001192562],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7466865,0.00003366891,0.2513246,0.0001512139,0.0002000173,0.0002080108,0.000013164,0.0001720755,0.001210727],"genre_scores_gemma":[0.9982077,0.000005476792,0.001447795,0.000118767,0.00007898213,0.00002293688,0.00001175382,0.00002133036,0.00008524008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2515212,"threshold_uncertainty_score":0.4035886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543744195671405,"score_gpt":0.2443111802034092,"score_spread":0.2288737382466951,"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."}}