{"id":"W2135319932","doi":"10.1109/tnano.2007.901910","title":"Toward Carbon Nanotube-Based AFM Cantilevers","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Nanotechnology","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cantilever; Carbon nanotube; Materials science; Microfabrication; Gauge factor; Nanotechnology; Carbon nanotube actuators; Silicon; Atomic force microscopy; Electrode; Carbon fibers; Mechanical properties of carbon nanotubes; Nanotube; Optoelectronics; Composite material; Fabrication; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006237113,0.0003436404,0.0002111203,0.0002999585,0.0003203358,0.0003651978,0.0008384838,0.001021856,0.001896685],"category_scores_gemma":[0.001100854,0.0002889338,0.0001531705,0.0001881607,0.0002693186,0.0005728321,0.0004024961,0.0008775494,0.001181633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003492892,"about_ca_system_score_gemma":0.0001430562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004060101,"about_ca_topic_score_gemma":0.001487649,"domain_scores_codex":[0.9995366,0.0000620502,0.00002187691,0.00007883206,0.0002669704,0.00003350516],"domain_scores_gemma":[0.9995165,0.0001426023,0.00004016671,0.00003489342,0.0002244468,0.00004134356],"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":[0.00001656612,0.00001693342,0.0001353931,0.0001077344,0.000005045448,0.00008584646,0.00006831404,0.0002564675,0.9882782,0.002547832,0.0008380239,0.007643681],"study_design_scores_gemma":[0.0000199049,0.0001609779,0.0009349172,0.00006008679,0.00001034546,0.0005015187,0.00004471586,0.01258973,0.9457147,0.001278775,0.03864816,0.0000361479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3448983,0.01476599,0.5970948,0.003903517,0.002135821,0.0007295211,0.0009395606,0.002154559,0.03337802],"genre_scores_gemma":[0.3336844,0.004905655,0.6491931,0.001107688,0.0001626063,0.000433978,0.0004732509,0.0001106327,0.009928689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001896685,"threshold_uncertainty_score":0.006345034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137802381996335,"score_gpt":0.2370352793496978,"score_spread":0.2232550411500643,"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."}}