{"id":"W4200026638","doi":"10.32920/16814698.v1","title":"Fabrication Of Sieved-Microwells For Single Particle Capture","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Microfluidics; Settling; Seeding; Nanotechnology; Fabrication; Particle (ecology); Materials science; Settling time; Environmental science; Engineering; Aerospace engineering; Biology","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":[0.00005917399,0.0001347691,0.0002138171,0.00003078787,0.00001280737,0.00002755678,0.0001441715,0.0003123289,0.00002712433],"category_scores_gemma":[0.00005465419,0.0001261825,0.00009477247,0.00007081653,0.00003767573,0.00002068438,0.0001435425,0.0001418095,0.000003360054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004546738,"about_ca_system_score_gemma":0.00001978893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003041771,"about_ca_topic_score_gemma":0.000006973426,"domain_scores_codex":[0.9993968,0.000005819343,0.0002151434,0.0001799796,0.00005582383,0.0001464384],"domain_scores_gemma":[0.9994285,0.00003033578,0.00004433154,0.0003682658,0.0001115023,0.00001705838],"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":[0.000001904451,0.00002563876,0.00005091403,0.0002969321,0.00003375348,6.459558e-7,0.0001187457,0.000518223,0.9809746,0.0001103754,0.01413138,0.003736861],"study_design_scores_gemma":[0.00007307965,0.0000102657,0.00005825169,0.00007105677,0.00002722246,0.000001908654,0.0003186921,0.003685731,0.9926456,0.0003192082,0.002639955,0.0001490238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7661212,0.005497681,0.2244859,0.0003177467,0.0005954605,0.0003876041,0.00004638757,0.001012446,0.001535591],"genre_scores_gemma":[0.9822173,0.0002457702,0.01712267,0.0000215004,0.00003452129,0.00001094195,0.00006251498,0.00002237293,0.0002624195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2160961,"threshold_uncertainty_score":0.5145574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216989625366584,"score_gpt":0.2168180420055493,"score_spread":0.1951190794688909,"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."}}