{"id":"W1890302875","doi":"10.3968/j.ans.1715787020100302.021","title":"Rapid Detection of E. coli on Goat Meat by Electronic Nose","year":2010,"lang":"en","type":"article","venue":"Advances in natural science/Advances in natural sciences","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electronic nose; Contamination; Escherichia coli; Foodborne pathogen; Bacteria; Food science; Biology; Principal component analysis; Biotechnology; Microbiology; Computer science; Artificial intelligence; Listeria monocytogenes; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003226299,0.000298692,0.0001934406,0.000264694,0.00007091944,0.0001661618,0.0002282067,0.0003311321,0.0005658045],"category_scores_gemma":[0.0004895257,0.0001360142,0.0001859064,0.0001127236,0.000211173,0.0002748535,0.0002495352,0.0001692848,0.0002366833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008539111,"about_ca_system_score_gemma":0.000083991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004033694,"about_ca_topic_score_gemma":0.0007663819,"domain_scores_codex":[0.9997981,0.0000361679,0.000007428559,0.00004398106,0.00009748389,0.00001690515],"domain_scores_gemma":[0.9997748,0.0001046858,0.00003346961,0.00001148615,0.00006480937,0.00001081043],"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":[0.000053339,0.00001436101,0.001140362,0.00004095142,0.000004302025,0.00004657504,0.00002053695,0.000132501,0.9940853,0.00002569801,0.00003469292,0.004401445],"study_design_scores_gemma":[0.00001015721,0.0007321942,0.019469,0.00001537123,0.00002035378,0.0006497071,0.00006859739,0.007988528,0.9698634,0.0000373391,0.001124934,0.00002048212],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964673,0.0007811097,0.03292649,0.00006525349,0.00003982062,0.00006604767,0.0001277077,0.0001717,0.001148961],"genre_scores_gemma":[0.9410387,0.0007680983,0.05498552,0.0001556429,0.00001530542,0.00005724264,0.0002039461,0.00002119218,0.002754412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005658045,"threshold_uncertainty_score":0.001892805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003430702236782873,"score_gpt":0.2527853923721633,"score_spread":0.2493546901353804,"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."}}