{"id":"W2885749524","doi":"10.3390/mi9080406","title":"Fluorosilicone as an Omnimold for Microreplication","year":2018,"lang":"en","type":"article","venue":"Micromachines","topic":"Nanofabrication and Lithography Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Silicone rubber; Microfabrication; Materials science; Mold; Silicone; Thermosetting polymer; Soft lithography; Molding (decorative); Silsesquioxane; Lithography; Composite material; Polymer; Nanotechnology; Fabrication","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003107624,0.0004441822,0.0001582665,0.0003092704,0.000183,0.0001962491,0.000277685,0.0003514594,0.001302179],"category_scores_gemma":[0.0002630416,0.0001602871,0.0001556506,0.0001403183,0.0003058868,0.0003372012,0.0001757741,0.0003146239,0.0006331351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003313124,"about_ca_system_score_gemma":0.0003022634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003936307,"about_ca_topic_score_gemma":0.0006575891,"domain_scores_codex":[0.9998429,0.00002605849,0.00001359515,0.0000474863,0.00004680799,0.00002309914],"domain_scores_gemma":[0.9998237,0.00005477546,0.00004944192,0.00002966831,0.00002025597,0.00002206091],"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":[0.00007173494,0.0000137024,0.00008916038,0.00008163142,0.000001990187,0.00008923405,0.00003148087,0.0001511314,0.9909976,0.0008841647,0.0001848294,0.007403373],"study_design_scores_gemma":[0.00000486647,0.000185799,0.0002537248,0.000006069899,0.000003410761,0.0001698692,0.00000423921,0.0004438542,0.9912384,0.00003149396,0.007651657,0.000006587984],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8648586,0.007569329,0.1088314,0.0003164984,0.000317786,0.0001850579,0.0006560764,0.001120263,0.01614495],"genre_scores_gemma":[0.9233499,0.00185504,0.06245544,0.0001116167,0.00003493668,0.00009294998,0.0003442703,0.00009143112,0.01166447],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001302179,"threshold_uncertainty_score":0.004356205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007351412943588469,"score_gpt":0.2691924652478001,"score_spread":0.2618410523042116,"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."}}