{"id":"W2085180937","doi":"10.1016/j.mimet.2006.02.012","title":"Identification of Streptococcus iniae by commercial bacterial identification systems","year":2006,"lang":"en","type":"article","venue":"Journal of Microbiological Methods","topic":"Streptococcal Infections and Treatments","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saskatchewan Disease Control Laboratory","funders":"","keywords":"Streptococcus iniae; Identification (biology); Biology; Microbiology; Streptococcus; Computational biology; Bacteria; Ecology; Genetics","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":[0.001243963,0.0001424354,0.0005365218,0.000139315,0.00006049776,0.00003488807,0.0001094737,0.0001998822,0.0001050497],"category_scores_gemma":[0.0002758314,0.00009596522,0.0002485445,0.0002081398,0.0001214929,0.0000877872,0.00002405414,0.0002010244,0.000009524572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001013344,"about_ca_system_score_gemma":0.00004389483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004411266,"about_ca_topic_score_gemma":8.278103e-7,"domain_scores_codex":[0.9976791,0.0005097337,0.001385521,0.0001667204,0.0001100025,0.0001489937],"domain_scores_gemma":[0.9978603,0.0002513411,0.001216037,0.0001923995,0.000410159,0.00006981667],"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":[0.0001743141,0.0007027292,0.02519007,0.00002677676,0.000111407,0.000004478623,0.00001046099,0.00001022942,0.9606155,0.0001070671,0.002612278,0.01043473],"study_design_scores_gemma":[0.002279824,0.0009690934,0.3194321,0.00009695807,0.000357701,0.0002675332,0.00005317603,0.00002871933,0.664449,0.0002648898,0.01166424,0.0001367107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703137,0.0005146791,0.02737014,0.0001173022,0.00101099,0.0004304931,0.00007138083,0.00001528467,0.0001559821],"genre_scores_gemma":[0.9930773,0.0000527707,0.00612893,0.00001561876,0.0003665863,0.00001591324,0.00007250517,0.000009914871,0.0002604737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2961664,"threshold_uncertainty_score":0.3913348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02709301750790751,"score_gpt":0.3727030480933697,"score_spread":0.3456100305854622,"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."}}