{"id":"W3015761205","doi":"10.34133/2020/4643507","title":"Largely Suppressed Magneto-Thermal Conductivity and Enhanced Magneto-Thermoelectric Properties in PtSn <sub>4</sub>","year":2020,"lang":"en","type":"article","venue":"Research","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; H2020 European Research Council; Deutsche Forschungsgemeinschaft; Alexander von Humboldt-Stiftung; Gordon and Betty Moore Foundation","keywords":"Thermoelectric effect; Condensed matter physics; Thermal conductivity; Seebeck coefficient; Materials science; Thermoelectric materials; Magneto; Magnetic field; Figure of merit; Semimetal; Topology (electrical circuits); Physics; Thermodynamics; Optoelectronics; Power (physics); Electrical engineering; Composite material; Quantum mechanics; Band gap","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":[],"consensus_categories":[],"category_scores_codex":[0.001260136,0.0002552839,0.0004361525,0.0001859038,0.0002325342,0.0002368459,0.0004319483,0.0001438129,0.0006898646],"category_scores_gemma":[0.0004516861,0.0002110951,0.00003840446,0.0008084739,0.0002958153,0.0004899761,0.0002827194,0.0004260631,0.0002136946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006742776,"about_ca_system_score_gemma":0.0001705964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001455738,"about_ca_topic_score_gemma":0.00003257405,"domain_scores_codex":[0.9963407,0.0007726593,0.00037846,0.0007579351,0.0007044796,0.001045779],"domain_scores_gemma":[0.9989508,0.0002113018,0.0000853139,0.0002999177,0.0001965861,0.0002560266],"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":[0.000486543,0.00008947291,0.0001064307,0.0001899706,0.000004685853,0.00003843268,0.0006422804,0.000036003,0.9887074,0.000144764,0.00005912051,0.009494891],"study_design_scores_gemma":[0.0007655548,0.0005185598,0.001974549,0.00002897624,0.000004475225,0.00000595603,0.000110198,0.001142539,0.9946756,0.0003332268,0.0001769263,0.0002634523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955515,0.001591004,0.0001470108,0.0005744396,0.00006863614,0.0007060718,0.00001863102,0.0001136136,0.001229045],"genre_scores_gemma":[0.9989051,0.0002753554,0.0001819573,0.0001535613,0.0002025117,0.0001431115,0.000005105266,0.00004555169,0.00008777832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009231439,"threshold_uncertainty_score":0.8608211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06726432511756215,"score_gpt":0.3002523864877509,"score_spread":0.2329880613701887,"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."}}