{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006051732,0.0006340333,0.0005109907,0.0005717008,0.0003522351,0.0008106263,0.000976964,0.0006559201,0.003045299],"category_scores_gemma":[0.0004967821,0.0005698131,0.0005605833,0.0002908666,0.000347843,0.000555455,0.0005683984,0.001173645,0.002723084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003907981,"about_ca_system_score_gemma":0.0005122464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004812119,"about_ca_topic_score_gemma":0.001567689,"domain_scores_codex":[0.9994844,0.00002138792,0.00005254415,0.0001335721,0.0002206193,0.00008735633],"domain_scores_gemma":[0.9995582,0.00006635847,0.00007828131,0.0001297678,0.0001084,0.00005900053],"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":[0.00002254935,0.00004968663,0.0002058827,0.000110759,0.00001016949,0.00008608939,0.00006138149,0.0004325233,0.9875848,0.001397901,0.001367289,0.008670922],"study_design_scores_gemma":[0.000009153467,0.00008103813,0.001262331,0.00002374947,0.000009302998,0.0001693124,0.00002628515,0.003331814,0.9767388,0.0002304918,0.01809459,0.00002312747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3907495,0.004874048,0.5637851,0.000770293,0.001431523,0.001437721,0.005724616,0.008320966,0.02290632],"genre_scores_gemma":[0.4123597,0.004700663,0.5521305,0.0005138704,0.00007445359,0.001385662,0.007163055,0.0005554357,0.02111666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003045299,"threshold_uncertainty_score":0.01018751,"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."}}