{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001193251,0.0007208899,0.000607638,0.001744024,0.0004010463,0.0009983601,0.0005401627,0.0008403767,0.001808601],"category_scores_gemma":[0.003092719,0.0003713564,0.0003965126,0.00129394,0.0003731124,0.0006859985,0.0008592731,0.000852496,0.001807006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002367203,"about_ca_system_score_gemma":0.0005068736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001432097,"about_ca_topic_score_gemma":0.002364181,"domain_scores_codex":[0.9975632,0.0005490156,0.0003037564,0.0003087424,0.001055285,0.0002200042],"domain_scores_gemma":[0.9968406,0.0009287836,0.0004860161,0.0002370163,0.001343962,0.0001636093],"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":[0.0004224906,0.0001540309,0.01462826,0.0001448877,0.00001545038,0.00006883074,0.0001542422,0.00004109805,0.9635509,0.0001571458,0.0002697236,0.02039283],"study_design_scores_gemma":[0.00001773014,0.0008211611,0.03563076,0.0000537198,0.00009096492,0.0008868363,0.0004306129,0.002223985,0.9565154,0.000129277,0.003180516,0.00001899431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9221026,0.003075488,0.062866,0.0004653584,0.0002421245,0.0004414892,0.001658696,0.0003911909,0.008757037],"genre_scores_gemma":[0.8850982,0.002487083,0.1004396,0.0003911154,0.0001090597,0.0002948282,0.003432344,0.00008625622,0.007661379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001808601,"threshold_uncertainty_score":0.006310642,"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."}}