{"id":"W3016128200","doi":"10.1103/physrevb.101.155111","title":"Weak localization in <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mrow><mml:mn>1</mml:mn><mml:mi>T</mml:mi><mml:mo>−</mml:mo><mml:mi>TiS</mml:mi><mml:msub><mml:mi mathvariant=\"normal\">e</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:mrow></mml:math> microflakes","year":2020,"lang":"lv","type":"article","venue":"Physical review. B./Physical review. B","topic":"Organic and Molecular Conductors Research","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Canadian Association of Emergency Physicians","keywords":"Electrical resistivity and conductivity; Physics; Condensed matter physics; Weak localization; Materials science; Magnetic field; Quantum mechanics; Magnetoresistance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006795449,0.000160487,0.0001192565,0.0002339,0.0002388162,0.0003688923,0.0002561424,0.0002156118,0.002123972],"category_scores_gemma":[0.0002335938,0.0001645183,0.0001389013,0.0001503872,0.0002234641,0.000312753,0.0002064481,0.0002217967,0.0003658583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003146626,"about_ca_system_score_gemma":0.0001567109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001023484,"about_ca_topic_score_gemma":0.002822085,"domain_scores_codex":[0.9999174,0.000004542101,0.000003606362,0.000024272,0.00002709091,0.0000231911],"domain_scores_gemma":[0.9998749,0.00002723882,0.00003281348,0.00001818772,0.00003544747,0.00001145695],"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":[0.0000559649,0.00001462136,0.0007830935,0.0000675193,0.000006674818,0.0001259915,0.00006772218,0.0009015216,0.9920542,0.003463879,0.0002453623,0.00221353],"study_design_scores_gemma":[0.000009080244,0.00008292558,0.005320208,0.000006390011,0.00001291911,0.00009297318,0.0000559839,0.008406897,0.9837258,0.0005746079,0.001700794,0.00001143176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928154,0.0002969663,0.003779419,0.00009020593,0.00002844919,0.000006140874,0.0001234419,0.00009335569,0.00276679],"genre_scores_gemma":[0.9958955,0.00006727264,0.002000541,0.00001411047,0.000003913915,0.00001018892,0.00008115898,0.00002573118,0.001901491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002123972,"threshold_uncertainty_score":0.00710541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02290061438412219,"score_gpt":0.2848041247449318,"score_spread":0.2619035103608096,"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."}}