{"id":"W2088236198","doi":"10.1089/fpd.2004.1.172","title":"Accelerating Bacterial Identification by Infrared Spectroscopy by Employing Microarray Deposition of Microorganisms","year":2004,"lang":"en","type":"article","venue":"Foodborne Pathogens and Disease","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Citrobacter freundii; Yersinia enterocolitica; Listeria monocytogenes; Microbiology; Brain heart infusion; Enterobacter cloacae; Citrobacter; Escherichia coli; Agar; Bacteria; Enterobacter; Klebsiella pneumoniae; Salmonella; Microorganism; Agar plate; Biology; Listeria; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009826859,0.000141349,0.0001286583,0.00002777406,0.00009715141,0.00004998084,0.0001420912,0.0001170786,0.00003624969],"category_scores_gemma":[0.0001347189,0.0001361213,0.00006126935,0.00009229511,0.0001497039,0.000007976934,0.00009679623,0.0000764081,0.000001883732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002651923,"about_ca_system_score_gemma":0.00008416502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001179197,"about_ca_topic_score_gemma":9.321525e-7,"domain_scores_codex":[0.9989449,0.00002841538,0.0002595921,0.000365698,0.0001637844,0.0002376152],"domain_scores_gemma":[0.9993204,0.000006796669,0.0000874314,0.0002267294,0.00006135926,0.0002972181],"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":[0.0001679059,0.0001619142,0.000405187,0.00004066845,0.00001579638,0.000001941917,0.0000151044,1.654883e-7,0.993675,0.0000357531,0.005151311,0.0003292519],"study_design_scores_gemma":[0.000511778,0.0002245722,0.0004679128,0.00002523702,0.00002121544,0.000002970732,0.00001715385,0.000003168664,0.996169,0.0008966926,0.0015105,0.0001498068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981706,0.001388679,0.0157791,0.0001676673,0.00004387957,0.0001855432,0.0005577282,0.00002264602,0.0001487371],"genre_scores_gemma":[0.9929505,0.0003512083,0.004747242,0.0001396497,0.0001105012,0.0000340107,0.001544072,0.00002242303,0.0001003692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0112445,"threshold_uncertainty_score":0.5550866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007245132039735896,"score_gpt":0.2644921452057937,"score_spread":0.2572470131660578,"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."}}