{"id":"W1999838906","doi":"10.1109/tnano.2014.2305621","title":"Environmental Gas and Light Sensing Using ZnO Nanowires","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Nanotechnology","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanowire; Conductivity; Irradiation; Oxygen; Ultraviolet; Analytical Chemistry (journal); Materials science; Zinc; Chemical vapor deposition; Carbon monoxide; Nanotechnology; Photochemistry; Chemistry; Optoelectronics; Physical chemistry; Organic chemistry; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00006081687,0.0001970939,0.0002277663,0.0002251515,0.0001689375,0.00002585056,0.00005997127,0.0002828423,0.00002048563],"category_scores_gemma":[0.000002575681,0.0002039829,0.0000471022,0.00009595717,0.0001082085,0.00005794578,0.000001432398,0.0001815021,0.00003313341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006195769,"about_ca_system_score_gemma":0.000003749843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001530642,"about_ca_topic_score_gemma":0.00001519358,"domain_scores_codex":[0.9991741,0.0000311514,0.0001978152,0.0002267709,0.00008097682,0.000289203],"domain_scores_gemma":[0.9996423,0.0000375453,0.00002459763,0.0002402113,0.000005006303,0.0000504002],"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":[0.000007667835,0.00001406362,0.000001640231,0.00001102852,0.00002207535,0.000007605258,0.00005866597,0.01623194,0.9431156,0.00001957071,0.00001115938,0.04049897],"study_design_scores_gemma":[0.0002737824,0.00008268646,0.00001082669,0.00002519642,0.00003028481,0.0002099098,0.00003704018,0.09517104,0.9017596,0.0001409936,0.002050338,0.0002082937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8559263,0.00004646913,0.1424792,0.000161849,0.0007246178,0.00008023715,0.000007000571,0.000518629,0.00005563769],"genre_scores_gemma":[0.9964993,0.0001073731,0.003239364,0.00004343858,0.00003339175,0.00000112858,5.601701e-7,0.00004847035,0.00002694484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.140573,"threshold_uncertainty_score":0.8318183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006235829836771989,"score_gpt":0.1760058781500276,"score_spread":0.1697700483132556,"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."}}