{"id":"W2010308459","doi":"10.1039/c2lc40932a","title":"Laminated thin-film Teflon chips for petrochemical applications","year":2012,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Suncor Energy Incorporated","keywords":"Materials science; Cleanroom; Fabrication; Thin film; Microfluidics; Composite material; Optoelectronics; Chip; Layer (electronics); Porosity; Nanotechnology; Electrical engineering; Engineering","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":[0.0000871549,0.000140777,0.0001245033,0.00004849139,0.00009675037,0.00001499266,0.0001543135,0.00009563898,0.00008920715],"category_scores_gemma":[0.00001082911,0.0001359617,0.00006359019,0.0001824349,0.00002161277,0.00004210456,0.00001277149,0.0001503463,0.0002330934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005618773,"about_ca_system_score_gemma":0.000009008609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001125764,"about_ca_topic_score_gemma":4.763636e-7,"domain_scores_codex":[0.9992622,0.000008969331,0.0001495214,0.0001437968,0.00008870094,0.0003468467],"domain_scores_gemma":[0.9994911,0.00005865943,0.00001998992,0.0002928505,0.0000238162,0.000113585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001547933,0.0001473241,0.0001451697,0.00007087083,0.0000485655,1.134019e-7,0.000197636,0.00002034086,0.7686286,0.05234126,0.1766073,0.001777361],"study_design_scores_gemma":[0.0002789264,0.00002901729,0.0006882258,0.00000857231,0.000029967,0.000005867065,0.00003282727,0.001066613,0.3208326,0.0007128642,0.6760882,0.0002263229],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8619633,0.04010734,0.04599883,0.0005388134,0.0002822171,0.00223505,0.0002007957,0.001638266,0.04703536],"genre_scores_gemma":[0.9949127,0.002359515,0.0004217524,0.0002003543,0.0003554806,0.0009566341,0.0001739898,0.00005053569,0.0005690688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4994809,"threshold_uncertainty_score":0.5544356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008848161607300675,"score_gpt":0.2189165864667323,"score_spread":0.2100684248594317,"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."}}