{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008270991,0.000109919,0.0000917536,0.00009714154,0.00007737215,0.00003278779,0.000143134,0.00005900162,0.00006911364],"category_scores_gemma":[0.00000864205,0.0001069705,0.00005232677,0.0001224747,0.00004919732,0.0001086349,0.00000858591,0.00003569816,0.00004851386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000100693,"about_ca_system_score_gemma":0.00000397119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000343221,"about_ca_topic_score_gemma":0.00001275272,"domain_scores_codex":[0.9995173,0.000007219544,0.0001405039,0.0001652578,0.00003816972,0.0001316084],"domain_scores_gemma":[0.9995515,0.00001394447,0.00002115539,0.0002957506,0.00006595423,0.00005169123],"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":[0.000007419505,0.00001998433,0.0005971091,0.0000134073,0.000009853222,8.058982e-8,0.0001125459,5.134432e-7,0.968866,0.003516526,0.00233278,0.02452381],"study_design_scores_gemma":[0.0001731368,0.0001067015,0.007718355,0.00000725398,0.00001011685,0.00001020868,0.000009821526,0.00126122,0.8481825,0.002801917,0.1395362,0.0001825667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544153,0.000393554,0.03726372,0.0001582172,0.0001685263,0.0004226225,0.00004012346,0.001706839,0.005431071],"genre_scores_gemma":[0.9696881,0.00002610852,0.02951097,0.0002087025,0.0001991224,0.00009460655,0.00005724552,0.0000363858,0.0001788289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1372034,"threshold_uncertainty_score":0.436213,"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."}}