{"id":"W2516673327","doi":"10.1007/s11664-016-4868-8","title":"Hot Extruded Polycrystalline Mg2Si with Embedded XS2 Nano-particles (X: Mo, W)","year":2016,"lang":"en","type":"article","venue":"Journal of Electronic Materials","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Extrusion; Crystallite; Grain boundary; Thermoelectric effect; Microstructure; Analytical Chemistry (journal); Grain size; Nanoscopic scale; Thermoelectric materials; Metallurgy; Composite material; Thermal conductivity; Nanotechnology; Chemistry; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001318048,0.0003414546,0.0007927676,0.000143758,0.0001225636,0.0001842888,0.0005310025,0.0001091286,0.004168209],"category_scores_gemma":[0.0001489661,0.0001793205,0.00008353119,0.0002071703,0.0001319025,0.0006819901,0.00006103317,0.0000859746,0.00009712354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001808437,"about_ca_system_score_gemma":0.0003755041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001710162,"about_ca_topic_score_gemma":0.00001414143,"domain_scores_codex":[0.9967731,0.0002677172,0.001102564,0.0003276613,0.0005738953,0.0009551066],"domain_scores_gemma":[0.9976748,0.0001678431,0.001328005,0.0003156566,0.0003189816,0.0001947444],"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":[0.002230137,0.00009659274,0.00001621205,0.00003268392,0.00005121034,0.00003307641,0.00006334623,0.00001149462,0.9927495,0.003470717,0.0001769227,0.001068141],"study_design_scores_gemma":[0.001941417,0.00136749,0.0001006891,0.0001688852,0.00006621517,0.0004649897,0.00003306333,0.000001852934,0.9853415,0.006625254,0.003586014,0.0003026317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937038,0.0007038412,0.004408736,0.0003257592,0.0004442428,0.0002114206,0.00003651315,0.00006447187,0.0001011696],"genre_scores_gemma":[0.9969623,0.0002820095,0.001462274,0.0001451205,0.0006417184,0.00001417533,0.00000154442,0.0000547851,0.0004360364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007407967,"threshold_uncertainty_score":0.9967421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00668290658814634,"score_gpt":0.2297080394929021,"score_spread":0.2230251329047558,"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."}}