{"id":"W3001731443","doi":"10.1101/2020.01.24.908202","title":"One cell, one drop, one click: hybrid microfluidic mammalian single-cell isolation","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Microfluidics; Drop (telecommunication); Population; Electrode; Interface (matter); Nanotechnology; Trap (plumbing); Materials science; Computer science; Chemistry; Engineering; Bubble; Telecommunications","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":[0.0007968385,0.0007663249,0.0007546577,0.0006305519,0.000342925,0.0006970931,0.001083561,0.0007283023,0.003938814],"category_scores_gemma":[0.0002419464,0.0004629605,0.0004355901,0.0002885324,0.0003714617,0.0003531094,0.0007669206,0.0008660743,0.002618038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003032583,"about_ca_system_score_gemma":0.0002918691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002593268,"about_ca_topic_score_gemma":0.000720416,"domain_scores_codex":[0.9993796,0.0000499127,0.00005573291,0.0001641126,0.0002633645,0.00008710028],"domain_scores_gemma":[0.9997234,0.00008984394,0.00004613501,0.00006121743,0.00003555171,0.00004387012],"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":[0.00006015801,0.00003603034,0.0001483866,0.00008165182,0.00001761401,0.00006827447,0.00002095349,0.000104356,0.9923614,0.000631183,0.0009598255,0.005510048],"study_design_scores_gemma":[0.0000357511,0.00007908614,0.0007565257,0.000007048676,0.00001348792,0.0001801688,0.000006348496,0.00223481,0.9849756,0.0001749253,0.01151586,0.00002030775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2686858,0.002465297,0.6963834,0.0008199099,0.0007496892,0.002088336,0.005871939,0.01093397,0.01200169],"genre_scores_gemma":[0.4949156,0.001554277,0.4695577,0.000692558,0.0002300253,0.003608332,0.004614434,0.0009710526,0.023856],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003938814,"threshold_uncertainty_score":0.01317668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103625198446375,"score_gpt":0.2020200753527097,"score_spread":0.180983823368246,"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."}}