{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001277413,0.0001969576,0.0003351164,0.0001749922,0.00003101741,0.00002362213,0.0001626751,0.00009475774,0.0000340107],"category_scores_gemma":[0.00001314414,0.0001997083,0.00006698543,0.0003141757,0.00003296145,0.0001305646,0.000008571105,0.00004386893,0.000004638944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004083553,"about_ca_system_score_gemma":0.000008777143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002136091,"about_ca_topic_score_gemma":8.193907e-7,"domain_scores_codex":[0.9989191,0.00003893349,0.0004604097,0.0002047234,0.0001527842,0.0002240067],"domain_scores_gemma":[0.9993328,0.000024727,0.0001238521,0.0003443156,0.0001192907,0.00005499521],"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":[0.00002044425,0.00003810574,0.00003594458,0.00004105534,0.00001464866,6.948325e-7,0.00006357159,0.00001938764,0.9823022,0.0002899687,0.0001271936,0.01704672],"study_design_scores_gemma":[0.0002414101,0.00004967658,0.007577461,0.00008155021,0.00001980382,0.000004001553,0.000007672516,0.000007772946,0.9868994,0.0001522235,0.004739941,0.0002191154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835528,0.001698876,0.001384559,0.00005921904,0.0003602115,0.0005048903,0.00007307743,0.001097106,0.01126927],"genre_scores_gemma":[0.9936213,0.0003353646,0.005661875,0.00009560338,0.00004811894,0.00005859903,0.00004465529,0.00002903155,0.0001054088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0168276,"threshold_uncertainty_score":0.8143868,"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."}}