{"id":"W4317951750","doi":"10.1039/d2nh00502f","title":"Transverse magnetoconductance in two-terminal chiral spin-selective devices","year":2023,"lang":"en","type":"article","venue":"Nanoscale Horizons","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Agencia Estatal de Investigación; Natural Sciences and Engineering Research Council of Canada; Consejería de Transformación Económica, Industria, Conocimiento y Universidades","keywords":"Terminal (telecommunication); Transverse plane; Spin (aerodynamics); Condensed matter physics; Physics; Materials science; Computer science; Engineering; Telecommunications","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":[0.0002478016,0.0001599433,0.000164436,0.0001518361,0.0001449392,0.0004404679,0.0003217164,0.0002829279,0.001115845],"category_scores_gemma":[0.000640263,0.00009065567,0.0000651942,0.0001427669,0.0004126801,0.0004104132,0.0002870929,0.0003467124,0.0001736981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002164095,"about_ca_system_score_gemma":0.0001036747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000200346,"about_ca_topic_score_gemma":0.0004096305,"domain_scores_codex":[0.9998344,0.00002395244,0.000008292866,0.0000305041,0.00007032874,0.00003245219],"domain_scores_gemma":[0.9996779,0.0001414523,0.00005109761,0.00004197983,0.00005646245,0.00003112051],"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":[0.00005366349,0.0000155429,0.0002176933,0.00005849767,0.000002939548,0.0001168442,0.00007816417,0.0001337432,0.9946474,0.001819512,0.00006079379,0.00279503],"study_design_scores_gemma":[0.000003070807,0.00007148271,0.0006463775,0.000005759921,0.000002881168,0.00009594094,0.00003841971,0.002175157,0.9960139,0.0002502049,0.0006929405,0.000003867271],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920685,0.0003332948,0.003753746,0.0001262465,0.0000278227,0.00001263384,0.00005404966,0.00007204247,0.003551719],"genre_scores_gemma":[0.9978968,0.0001244655,0.001146534,0.00002768048,0.00000537144,0.000007259759,0.00001946865,0.000007043139,0.0007653379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001115845,"threshold_uncertainty_score":0.00373292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176152293907658,"score_gpt":0.2844016055279008,"score_spread":0.266786376137135,"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."}}