{"id":"W4252723999","doi":"10.1149/ma2018-02/31/1059","title":"(Invited) Composition and Strain Engineering of New Group-IV Thermoelectric Materials","year":2018,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Thermoelectric effect; Seebeck coefficient; Epitaxy; Molecular beam epitaxy; Thermal conductivity; Wafer; Thermoelectric materials; Figure of merit; Doping; Substrate (aquarium); Optoelectronics; Electrical resistivity and conductivity; Germanium; Silicon; Layer (electronics); Nanotechnology; Composite material; Electrical engineering; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006343295,0.0001905615,0.00029671,0.00009427305,0.0001012237,0.0001022575,0.0001576285,0.0000901445,0.0001674103],"category_scores_gemma":[0.0001104101,0.0001737227,0.00002374709,0.0001588712,0.00006263144,0.0001935154,0.00004845691,0.00005790744,0.00003079763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002222991,"about_ca_system_score_gemma":0.00001626287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002962158,"about_ca_topic_score_gemma":0.000006499425,"domain_scores_codex":[0.9986273,0.00005089799,0.0004737,0.000294921,0.0002018302,0.000351324],"domain_scores_gemma":[0.9991868,0.000124027,0.0003385108,0.0001793352,0.00006146932,0.0001098956],"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":[0.00005249484,0.00002379345,0.00001903943,0.00006727863,0.000006556883,0.000003637145,0.0002201416,0.0003046959,0.998506,0.00005470854,0.00006407137,0.00067759],"study_design_scores_gemma":[0.0002789665,0.0001529963,0.006025682,0.0001337578,0.00001582047,0.00002062272,0.00001486881,0.0001410543,0.9922836,0.0004962616,0.0002503277,0.0001860879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976358,0.000188384,0.0001856759,0.00009495539,0.0003853767,0.000157062,0.00002709981,0.0001216042,0.001204087],"genre_scores_gemma":[0.9933117,0.00002084009,0.005988103,0.0001000605,0.0005203371,0.00000435147,0.00001095858,0.00002881583,0.00001482189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006222438,"threshold_uncertainty_score":0.7084206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079981738785198,"score_gpt":0.2313790670497575,"score_spread":0.2205792496619055,"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."}}