{"id":"W2154871115","doi":"10.1109/eurcon.2009.5167793","title":"A silver nanowire based gas ionization sensor EUROCON2009","year":2009,"lang":"en","type":"article","venue":"","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Nanowire; Ionization; Torr; Argon; Nanotechnology; Analytical Chemistry (journal); Fabrication; Physics; Materials science; Chemistry; Atomic physics; Ion; Thermodynamics; Organic chemistry; Quantum mechanics","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":[0.000282333,0.0004103029,0.0003157164,0.0003064391,0.0001933755,0.0004342319,0.0009284388,0.0009606055,0.002066072],"category_scores_gemma":[0.0002626129,0.000215241,0.0001918022,0.0002447092,0.0001925441,0.0004622798,0.0002215363,0.0002625433,0.0009412011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000587068,"about_ca_system_score_gemma":0.0002617203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001506803,"about_ca_topic_score_gemma":0.0022938,"domain_scores_codex":[0.999559,0.00003786711,0.00001778744,0.0001280243,0.0002262494,0.00003102631],"domain_scores_gemma":[0.9998322,0.00003471041,0.00003109879,0.00001867055,0.00006564003,0.00001770764],"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":[0.00007724067,0.00003564296,0.0005446403,0.00005111922,0.000007907483,0.0001234736,0.00001851684,0.0006872009,0.9907653,0.0002373809,0.0007609511,0.006690542],"study_design_scores_gemma":[0.00001616394,0.0002211715,0.002228443,0.000003723742,0.00001468067,0.0002167403,0.000008495473,0.01999801,0.9736344,0.00005210956,0.003590306,0.00001587807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.879684,0.001430099,0.09362569,0.0005677654,0.000304475,0.0001376805,0.001783669,0.007876947,0.01458976],"genre_scores_gemma":[0.8676724,0.0006062874,0.1026648,0.0004196491,0.00003716348,0.00009664152,0.001834383,0.0002344152,0.02643431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002066072,"threshold_uncertainty_score":0.006911695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00648513452276172,"score_gpt":0.1823618846328817,"score_spread":0.1758767501101199,"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."}}