{"id":"W2983443051","doi":"","title":"Charge Transport in Hexagonal-Phase Core Silicon Nanowires","year":2019,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Concordia University; Polytechnique Montréal","keywords":"Materials science; Nanowire; Phase (matter); Schottky diode; Crystal (programming language); Nanotechnology; Stacking; Optoelectronics; Silicon; Schottky barrier; Transistor; Condensed matter physics; Diode; Voltage; Electrical engineering; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003276524,0.0004798542,0.0006430466,0.001433946,0.000225032,0.00005678306,0.0008781872,0.0005245509,0.0003083424],"category_scores_gemma":[0.00001345721,0.0005913023,0.0002241682,0.001138543,0.0001140122,0.0004544705,0.00002989257,0.001617283,0.0001407495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141433,"about_ca_system_score_gemma":0.0004995746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001961264,"about_ca_topic_score_gemma":0.005396185,"domain_scores_codex":[0.9968429,0.0001342762,0.0004419703,0.0007856023,0.0007782642,0.001017001],"domain_scores_gemma":[0.9986537,0.0001436182,0.0001086004,0.0007031162,0.0001344679,0.0002564795],"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":[0.002307101,0.001169136,0.109712,0.005539864,0.001350947,0.01077429,0.005888149,0.00171746,0.8350725,0.01251352,0.004347402,0.009607601],"study_design_scores_gemma":[0.01449029,0.002250258,0.08449306,0.00340199,0.0004354386,0.0001013114,0.02050659,0.00638593,0.4580104,0.001241724,0.4025945,0.006088539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8547878,0.0009314697,0.00001574095,0.00000887578,0.001912579,0.0007765925,0.00004944248,0.0001881224,0.1413293],"genre_scores_gemma":[0.9215217,0.0007996124,0.000003762217,0.000004360864,0.0002248878,0.00001022714,0.0004435794,0.0001199172,0.07687197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3982471,"threshold_uncertainty_score":0.9996538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03600625120597453,"score_gpt":0.2943317483068665,"score_spread":0.2583254971008919,"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."}}