{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005305393,0.0002176569,0.0001323619,0.000121938,0.0001037896,0.0002376124,0.0002076579,0.0002577271,0.0004041675],"category_scores_gemma":[0.0001340483,0.0001418036,0.00015192,0.0001160904,0.0001230968,0.0002285067,0.0001392164,0.0001437253,0.0001675101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000204119,"about_ca_system_score_gemma":0.00006747297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007846428,"about_ca_topic_score_gemma":0.001327781,"domain_scores_codex":[0.9999121,0.000005680288,0.000003437491,0.0000359369,0.00003076721,0.00001203127],"domain_scores_gemma":[0.9999541,0.00001263561,0.00001255195,0.000003741599,0.00001179553,0.000005238429],"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":[0.0000189324,0.000002962771,0.0001823002,0.00002318168,0.00000157574,0.00003078842,0.000007057201,0.00008177941,0.9982446,0.00005086848,0.00001917088,0.001336857],"study_design_scores_gemma":[0.000004275418,0.00003066101,0.001157911,0.000002722368,0.00000604292,0.00005388724,0.00001142657,0.001262062,0.9963962,0.00004101445,0.001030441,0.000003328251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683231,0.003073843,0.0238333,0.0001700542,0.0001088831,0.00002177076,0.0003939801,0.0002039025,0.003871135],"genre_scores_gemma":[0.9836696,0.001233096,0.01315263,0.00006312101,0.00001543363,0.00001444818,0.0001654833,0.00002304588,0.00166302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007846428,"threshold_uncertainty_score":0.001560152,"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."}}