{"id":"W4246460621","doi":"10.1063/5.0009443.1","title":"10.1063/5.0009443.1","year":2020,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Toronto Metropolitan University","funders":"","keywords":"Microfluidics; Microchannel; Fabrication; Soft lithography; Materials science; Casting; Nanotechnology; Mold; Photolithography; 3D printing; Molding (decorative); Cleanroom; Lithography; Flow focusing; PDMS stamp; Engineering drawing; Optoelectronics; Composite material; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001092292,0.0006593867,0.000588585,0.0003089708,0.00006584251,0.0003085158,0.0006404773,0.0005397382,0.001046921],"category_scores_gemma":[0.0001175428,0.0006845231,0.0001837719,0.001046776,0.000113692,0.0004408203,0.0002006339,0.0008217389,0.0124103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002411922,"about_ca_system_score_gemma":0.00004824964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009290728,"about_ca_topic_score_gemma":7.659858e-7,"domain_scores_codex":[0.9978907,0.00001150836,0.000689543,0.0005040806,0.000414009,0.0004901651],"domain_scores_gemma":[0.9989256,0.00004885418,0.0001328605,0.0006586793,0.0001329522,0.0001010388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001693453,0.00003362509,4.297356e-7,0.0002625973,0.000113782,0.00006808178,0.00001161603,0.000001662964,0.0004636292,0.00009329512,0.9861413,0.01279308],"study_design_scores_gemma":[0.0002144335,0.0001544078,0.000004435329,0.00009219067,0.00003614267,0.00003668316,0.00001337319,0.00005419473,0.002066622,0.0001668913,0.9964172,0.0007434819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001447162,0.0002676772,0.005486629,0.0000219189,0.0004580575,0.0003733184,0.9734709,0.001214859,0.0186922],"genre_scores_gemma":[0.002258598,0.00004121717,0.00007155989,0.0002626596,0.0005317947,0.00008110333,0.9955235,0.0001169294,0.00111262],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02205265,"threshold_uncertainty_score":0.9998662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009586484524361468,"score_gpt":0.2207479181719757,"score_spread":0.2111614336476142,"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."}}