{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006714282,0.002097258,0.002841186,0.003179355,0.001673179,0.004253803,0.004582882,0.005553342,0.8704826],"category_scores_gemma":[0.000741377,0.0006820868,0.001045762,0.005499196,0.001575195,0.002384226,0.003707663,0.003623782,0.8394253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002911544,"about_ca_system_score_gemma":0.0008421422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001894575,"about_ca_topic_score_gemma":0.002774706,"domain_scores_codex":[0.9992275,0.00007978715,0.0000269242,0.0001762057,0.0003407781,0.0001488245],"domain_scores_gemma":[0.9996666,0.00004619966,0.0000267876,0.00008619693,0.00008366125,0.00009055666],"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":[0.0003292244,0.0005257257,0.0009061795,0.001947759,0.0001259908,0.0007476922,0.0001828924,0.002809897,0.02246766,0.04686627,0.5810412,0.3420496],"study_design_scores_gemma":[0.00005568398,0.00003198611,0.0003085748,0.0001565657,0.00001425812,0.0002003397,0.00003703623,0.003302244,0.001720548,0.005642926,0.9884896,0.00004027106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.002228329,0.003728139,0.0123079,0.001313633,0.001846616,0.0005580715,0.01054899,0.008626006,0.9588424],"genre_scores_gemma":[0.02711487,0.003703786,0.01748748,0.001334107,0.0004801423,0.001242931,0.03704816,0.003179956,0.9084085],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1295174,"threshold_uncertainty_score":0.1847408,"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."}}