{"id":"W2401558455","doi":"10.1039/c6cp01866a","title":"Magnetoresistance in Co/2D MoS<sub>2</sub>/Co and Ni/2D MoS<sub>2</sub>/Ni junctions","year":2016,"lang":"en","type":"article","venue":"Physical Chemistry Chemical Physics","topic":"2D Materials and Applications","field":"Materials Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"National Natural Science Foundation of China","keywords":"Magnetoresistance; Quantum tunnelling; Condensed matter physics; Dangling bond; Ferromagnetism; Materials science; Metal; Layer (electronics); Electrode; Scanning tunneling microscope; Density functional theory; Nanotechnology; Optoelectronics; Magnetic field; Chemistry; Silicon; Computational chemistry; Metallurgy; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001534884,0.0005601223,0.0006774903,0.00001938354,0.0001901152,0.0001464638,0.0005238852,0.0002306766,0.00006979904],"category_scores_gemma":[0.0001027599,0.000475929,0.0001632689,0.0003409179,0.0007100051,0.0003804402,0.0002298225,0.0003170871,0.0004420828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002094584,"about_ca_system_score_gemma":0.0001024355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001532015,"about_ca_topic_score_gemma":0.000002006421,"domain_scores_codex":[0.9969195,0.00004580728,0.0005671472,0.001124045,0.0005207013,0.0008227834],"domain_scores_gemma":[0.9981852,0.0002191215,0.0002603633,0.0008167615,0.0001285043,0.000390109],"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":[0.00007554343,0.0005862255,0.0000403694,0.0001700509,0.00001228052,0.000004384144,0.00007046414,0.000005242682,0.9922467,0.0006518298,0.004712818,0.001424058],"study_design_scores_gemma":[0.0008001893,0.00002329827,0.0002035218,0.0001098803,0.00004588563,0.000005376803,0.00002132027,0.00007537557,0.9819329,0.01549917,0.0006477681,0.0006352703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963596,0.00004031078,0.0003611002,0.0004561036,0.0001141304,0.0002952875,0.0004491084,0.0002298516,0.001694531],"genre_scores_gemma":[0.9976732,0.00006964819,0.0001569593,0.0001320384,0.001375398,0.0002916353,0.0001090668,0.00007914667,0.0001129104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01484734,"threshold_uncertainty_score":0.9997692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00979481313307224,"score_gpt":0.235141110467813,"score_spread":0.2253462973347408,"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."}}