{"id":"W4231535393","doi":"10.1002/ange.201712779","title":"Orientation Control of Molecularly Functionalized Surfaces Applied to the Simultaneous Alignment and Sorting of Carbon Nanotubes","year":2018,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Carbon nanotube; Sorting; Nanotechnology; Orientation (vector space); Surface modification; Materials science; Computer science; Chemistry; Algorithm","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":[0.0001925706,0.0003312957,0.0001498703,0.0002310654,0.0001688248,0.0003793169,0.000314809,0.0003770826,0.0007754376],"category_scores_gemma":[0.0003200092,0.000213732,0.0001457448,0.0001312189,0.0003387961,0.0002240435,0.0002115533,0.0002971168,0.0002729199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003857457,"about_ca_system_score_gemma":0.0001823411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004388659,"about_ca_topic_score_gemma":0.0006376235,"domain_scores_codex":[0.9998121,0.00002588811,0.000009566505,0.00004427061,0.00006547815,0.00004277559],"domain_scores_gemma":[0.9998239,0.00004160102,0.0000586862,0.00002355572,0.00003250419,0.00001985263],"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":[0.00002043652,0.000007741753,0.00003469688,0.00001007263,0.000001515795,0.0000183535,0.00001264222,0.00009617246,0.9986556,0.0001694296,0.00002139677,0.0009519844],"study_design_scores_gemma":[0.000004127597,0.00003137762,0.0001594629,8.113008e-7,0.000001872392,0.00001050118,0.000004251119,0.001141931,0.9983009,0.00001541974,0.0003274513,0.000001971808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891912,0.0004523712,0.008037687,0.00008612291,0.00004996209,0.00002415578,0.00003869725,0.0001635089,0.00195628],"genre_scores_gemma":[0.9932427,0.0002361763,0.005056448,0.00003209195,0.00001401964,0.00001764287,0.00003476177,0.00003071094,0.001335512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007754376,"threshold_uncertainty_score":0.002798796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008928725855103646,"score_gpt":0.2361973584574019,"score_spread":0.2272686326022983,"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."}}