{"id":"W1973707238","doi":"10.1007/s00339-015-8992-8","title":"Study of carrier mobility of tubular and planar graphdiyne","year":2015,"lang":"en","type":"article","venue":"Applied Physics A","topic":"Graphene research and applications","field":"Materials Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Western Canada Research Grid","keywords":"Density functional theory; Carbon nanotube; Graphene; Materials science; Electron mobility; Spintronics; Condensed matter physics; Band gap; Semiconductor; Chemistry; Chemical physics; Nanotechnology; Computational chemistry; Ferromagnetism; Physics; 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":[0.0001000202,0.000149341,0.0001754338,0.0001929056,0.0001769794,0.00018768,0.0002702997,0.00021649,0.0009250318],"category_scores_gemma":[0.0002153529,0.00005961613,0.0001150724,0.0001913486,0.0002635326,0.0003159422,0.0001547672,0.0001570124,0.00008372407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002527828,"about_ca_system_score_gemma":0.0001728209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001462382,"about_ca_topic_score_gemma":0.0009333608,"domain_scores_codex":[0.9999511,0.000004347157,0.000001100327,0.00001473845,0.00001268688,0.00001609207],"domain_scores_gemma":[0.9999408,0.00002611413,0.000009960568,0.000004902677,0.00001085095,0.000007358519],"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":[0.0002133157,0.00002677379,0.0008589541,0.00007772473,0.00001360194,0.0002017842,0.0001522173,0.001309576,0.9915648,0.003604525,0.00009645161,0.0018804],"study_design_scores_gemma":[0.00003382016,0.0005794331,0.008336383,0.00001976121,0.00003568281,0.0003167159,0.0003101035,0.05316736,0.9337052,0.0006870977,0.002777372,0.000031072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987444,0.0002139061,0.0003673171,0.00002249884,0.000005021367,0.000002447048,0.00003292409,0.000005355007,0.0006061426],"genre_scores_gemma":[0.998763,0.0001309656,0.0003648458,0.000003393395,0.000002406354,0.000002241689,0.00004030882,0.000002760617,0.0006902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001462382,"threshold_uncertainty_score":0.003094554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04078322389655246,"score_gpt":0.2912020157969435,"score_spread":0.250418791900391,"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."}}