{"id":"W2104124155","doi":"10.1002/adma.200902192","title":"Ultraviolet‐Assisted Direct‐Write Fabrication of Carbon Nanotube/Polymer Nanocomposite Microcoils","year":2009,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Nanofabrication and Lithography Techniques","field":"Engineering","cited_by":209,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Université Laval","keywords":"Materials science; Carbon nanotube; Nanocomposite; Fabrication; Ultraviolet; Nanotechnology; Polymer; Extrusion; UV curing; Protein filament; Curing (chemistry); Fused filament fabrication; Rigidity (electromagnetism); Nanotube; Composite material; Optoelectronics","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":[0.0001217983,0.0001975043,0.0001777156,0.0001853404,0.0001966034,0.000307492,0.0002754043,0.0002495414,0.001123408],"category_scores_gemma":[0.0003660697,0.0001920641,0.0001685846,0.00013507,0.0002125114,0.0002969871,0.0002636573,0.0004062974,0.0003026983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001796752,"about_ca_system_score_gemma":0.0001526855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002211299,"about_ca_topic_score_gemma":0.000887774,"domain_scores_codex":[0.9998928,0.000006183052,0.000008831846,0.00002766046,0.00004791972,0.00001658258],"domain_scores_gemma":[0.9997078,0.0001178573,0.00006373166,0.00004257409,0.00003389149,0.00003413187],"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":[0.00001510594,0.00000889771,0.00003697518,0.00002415905,0.000001294396,0.00006613482,0.00002060927,0.0001632369,0.9972157,0.0001069199,0.00003487085,0.002305933],"study_design_scores_gemma":[0.000003296165,0.00001876497,0.000165119,0.000001342175,0.000001186727,0.00006041765,0.000004503218,0.0007749691,0.9981634,0.00001483824,0.0007890603,0.000003005104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501647,0.001092771,0.04085712,0.0001307445,0.0001085679,0.00005808522,0.0002809001,0.0006970363,0.006610033],"genre_scores_gemma":[0.9490377,0.0004466553,0.04456799,0.00003931639,0.00001732441,0.00004687041,0.0001540832,0.00008083765,0.005609319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001123408,"threshold_uncertainty_score":0.003758132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004998481772760706,"score_gpt":0.2229956526547884,"score_spread":0.2179971708820277,"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."}}