{"id":"W2226809592","doi":"10.1039/c5nr06585b","title":"Giant tunnel magneto-resistance in graphene based molecular tunneling junction","year":2016,"lang":"en","type":"article","venue":"Nanoscale","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Zigzag; Graphene; Quantum tunnelling; Materials science; Condensed matter physics; Magneto; Graphene nanoribbons; Nanotechnology; Optoelectronics; Physics; Magnet; Quantum mechanics","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":[0.0001292472,0.0001904585,0.0002493861,0.0002196813,0.0003882985,0.0004550946,0.0004398312,0.0006485833,0.0005020172],"category_scores_gemma":[0.0002146971,0.0001456345,0.0002617622,0.0001533944,0.0004885042,0.0004505629,0.0001811296,0.0002059505,0.00008369183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002808272,"about_ca_system_score_gemma":0.000189367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004133734,"about_ca_topic_score_gemma":0.0005981253,"domain_scores_codex":[0.9999304,0.00001641793,0.000002382941,0.00000899117,0.00002553337,0.0000162896],"domain_scores_gemma":[0.9999427,0.00002047705,0.00001471055,0.000007273283,0.00000624167,0.00000872273],"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":[0.0002536134,0.000214319,0.003465415,0.0004708045,0.0001120511,0.002064853,0.0002387236,0.1417824,0.5552166,0.2888082,0.0009347537,0.006438229],"study_design_scores_gemma":[0.0000683258,0.0003647562,0.003455375,0.00002623527,0.00005650805,0.0007790748,0.0001060415,0.8923731,0.06870454,0.032153,0.001843033,0.00007000923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806284,0.0007154311,0.01107138,0.0002029916,0.00004304007,0.00002104293,0.00003495381,0.00008001235,0.007202743],"genre_scores_gemma":[0.9967492,0.000162803,0.002732094,0.00001287135,0.000005108387,0.000008189496,0.00001075034,0.000004584734,0.0003143742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006485833,"threshold_uncertainty_score":0.002037525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00468095151218939,"score_gpt":0.1837992525952305,"score_spread":0.1791183010830411,"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."}}