{"id":"W2049562146","doi":"10.1002/masy.201200062","title":"Novel Test System for Gas Sensing Materials and Sensors","year":2013,"lang":"en","type":"article","venue":"Macromolecular Symposia","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Analyte; Gas chromatography; Process engineering; Computer science; Test method; Chromatography; Environmental science; Materials science; Chemistry; Engineering; Mathematics; Statistics","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":[0.0007490016,0.0008538105,0.0006818112,0.001126497,0.0005783197,0.0006143651,0.002814481,0.001768782,0.006373646],"category_scores_gemma":[0.0009292114,0.0004283414,0.000337438,0.0004185029,0.0003629759,0.001345449,0.001166837,0.0009877862,0.003571167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006213303,"about_ca_system_score_gemma":0.0006145244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003516021,"about_ca_topic_score_gemma":0.0004447987,"domain_scores_codex":[0.9991085,0.00008008897,0.00007934742,0.0002225481,0.0004454748,0.00006402934],"domain_scores_gemma":[0.9991374,0.0001612337,0.0001006997,0.0001064761,0.0003994571,0.00009478677],"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":[0.0002467442,0.0002560808,0.0008144039,0.0003344306,0.0000276794,0.0003845244,0.00005055599,0.0003189115,0.9556003,0.001938543,0.004019662,0.03600821],"study_design_scores_gemma":[0.0000654745,0.0008233614,0.001548961,0.0000287449,0.00004894422,0.001617361,0.00001859491,0.0104686,0.9528102,0.0004754546,0.03205162,0.0000426641],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1796681,0.003499795,0.7768191,0.001545188,0.002517994,0.002064322,0.001466241,0.01821134,0.01420803],"genre_scores_gemma":[0.4098103,0.00138404,0.5500075,0.001896303,0.0005774748,0.002281116,0.002957297,0.000323139,0.03076274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006373646,"threshold_uncertainty_score":0.02132195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006626574026375273,"score_gpt":0.1994565960784127,"score_spread":0.1928300220520375,"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."}}