{"id":"W2116848708","doi":"10.1039/c5lc00492f","title":"Development of a platform for single cell genomics using convex lens-induced confinement","year":2015,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University and Génome Québec Innovation Centre","funders":"Canadian Institutes of Health Research","keywords":"Lysis; Chip; Fluidics; DNA; genomic DNA; Materials science; Nanotechnology; Microfluidics; Optoelectronics; Biological system; Chemistry; Computer science; Engineering; Biology","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":[0.0001226915,0.0001297231,0.000179464,0.00006911124,0.00003274872,0.00001175307,0.0001000483,0.000102306,0.000004747184],"category_scores_gemma":[0.00001723739,0.0001194299,0.0000308406,0.00006333006,0.00002177407,0.0000242615,0.00003491588,0.00006800865,0.000008802975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001701094,"about_ca_system_score_gemma":0.00007058345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005398614,"about_ca_topic_score_gemma":0.000004909336,"domain_scores_codex":[0.9993607,0.000002440788,0.0002314925,0.0001153899,0.00008925619,0.0002006783],"domain_scores_gemma":[0.9996942,0.00001791748,0.00004832448,0.0001602855,0.00004365787,0.00003559422],"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":[0.0000222848,0.00003963094,0.000009557333,0.00006691976,0.00001830745,0.000001133828,0.0006677235,0.00008160998,0.9928105,0.0002718952,0.0007352128,0.005275214],"study_design_scores_gemma":[0.0006273981,0.00008623441,0.000009417651,0.00003663785,0.000009536561,0.000002783715,0.0004899231,0.002559697,0.9644558,0.00007926217,0.03149132,0.0001519215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927472,0.0001560647,0.004044938,0.00002302178,0.0002189098,0.0002287901,0.000009418404,0.0002193785,0.002352277],"genre_scores_gemma":[0.9579325,0.000008176748,0.04192407,0.00004424319,0.0000248248,0.00000437711,0.000009263275,0.00002301044,0.00002952227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03787913,"threshold_uncertainty_score":0.487021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.110651366143678,"score_gpt":0.2406970118438138,"score_spread":0.1300456457001358,"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."}}