{"id":"W4384455902","doi":"","title":"Homemade ZT-meter device to characterize thermal and thermoelectrical properties of graphenized mesoporous silicon (MePSi-Gr)","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Silicon; Materials science; Optoelectronics; Mesoporous material; Thermal; Metre; Computer science; Physics; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003117708,0.0006788035,0.0004331686,0.000635933,0.0003136517,0.0003581456,0.001224775,0.0007841013,0.008044485],"category_scores_gemma":[0.0004325399,0.000345671,0.0002906254,0.0006741204,0.0003125342,0.0004875004,0.0003171778,0.0006079754,0.001783257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005597005,"about_ca_system_score_gemma":0.000268489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000578157,"about_ca_topic_score_gemma":0.001692879,"domain_scores_codex":[0.9995986,0.00003038826,0.00002122697,0.0001623033,0.000152259,0.00003531285],"domain_scores_gemma":[0.9996796,0.00007970952,0.00005702045,0.00007686937,0.00008880282,0.00001813872],"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":[0.0001309491,0.0000537898,0.0007618448,0.0001199595,0.00002192291,0.00007690614,0.0000481664,0.0001678268,0.9907934,0.0004400946,0.001171758,0.006213218],"study_design_scores_gemma":[0.00002627478,0.0001494995,0.003234289,0.000005592377,0.00002568326,0.0001783995,0.00002169147,0.003915806,0.9869224,0.00009097487,0.005414099,0.00001527376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8088245,0.0008375117,0.1551238,0.0005398375,0.0005652471,0.0005198905,0.01434423,0.009183038,0.01006199],"genre_scores_gemma":[0.9372541,0.0002293455,0.04867693,0.0002355501,0.00006019714,0.0003389092,0.002267157,0.0004106898,0.01052701],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008044485,"threshold_uncertainty_score":0.0269115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168667335298302,"score_gpt":0.1953437548422037,"score_spread":0.1784770213123735,"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."}}