{"id":"W3025726359","doi":"10.1149/ma2020-01282136mtgabs","title":"Zinc Oxide Sensing Devices for Meat Spoilage Detection","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Food spoilage; Nanomaterials; Materials science; Dimethylamine; Nanostructure; Nanotechnology; Nanoparticle; Chemical engineering; Substrate (aquarium); Methylamine; Chemistry; Organic chemistry","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":[0.0001521415,0.0005035035,0.0002674792,0.0002963298,0.0001221198,0.0003760068,0.00091432,0.0006968935,0.002553592],"category_scores_gemma":[0.0003113499,0.0002292049,0.0002106823,0.0002143755,0.0001840985,0.0004136383,0.000190015,0.0004097045,0.0007758448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005346959,"about_ca_system_score_gemma":0.0001284394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007273784,"about_ca_topic_score_gemma":0.001157383,"domain_scores_codex":[0.9997471,0.00001441344,0.0000077814,0.00007518836,0.000133343,0.00002221758],"domain_scores_gemma":[0.9998634,0.00003776733,0.00003865403,0.000007229542,0.00004267519,0.00001035987],"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":[0.00006885181,0.00002209871,0.0002173552,0.0002131046,0.000007520492,0.00007382693,0.00001829828,0.0001795577,0.985127,0.0005163099,0.000898547,0.01265747],"study_design_scores_gemma":[0.00002462255,0.0002964491,0.001485169,0.00004299454,0.00002964933,0.0002718914,0.00002853456,0.006271504,0.9721866,0.0003688271,0.01897432,0.00001954557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6063176,0.1101243,0.2153886,0.003118937,0.003473471,0.0008009863,0.003151428,0.004173491,0.05345118],"genre_scores_gemma":[0.8565035,0.01595254,0.1012583,0.00115895,0.0003194506,0.0002237623,0.0005361592,0.00006753141,0.02397974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002553592,"threshold_uncertainty_score":0.008542597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791599360951756,"score_gpt":0.2252536104858757,"score_spread":0.2073376168763581,"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."}}