{"id":"W2093682425","doi":"10.1016/j.femsle.2005.08.016","title":"A rapid screening test to distinguish between<i>Candida albicans</i>and<i>Candida dubliniensis</i>using NMR spectroscopy","year":2005,"lang":"en","type":"article","venue":"FEMS Microbiology Letters","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; National Research Council Institute for Biodiagnostics","funders":"","keywords":"Candida dubliniensis; Candida albicans; Nuclear magnetic resonance spectroscopy; Metabolite; Biology; Microbiology; Computational biology; Corpus albicans; Chemistry; Biochemistry; Stereochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004575433,0.0003902829,0.0007723417,0.0002074953,0.0002937553,0.00004837042,0.0001845971,0.0002026649,0.0001835047],"category_scores_gemma":[0.0004750025,0.0003556272,0.0001744199,0.0003441234,0.0004617483,0.00009026524,0.0001319356,0.0005166567,0.00007083468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001850879,"about_ca_system_score_gemma":0.00008929919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001927716,"about_ca_topic_score_gemma":0.0001940717,"domain_scores_codex":[0.9974736,0.00009414965,0.0005697774,0.0008512477,0.0001213111,0.0008899189],"domain_scores_gemma":[0.9985245,0.000358266,0.0001601883,0.0005057119,0.00009349817,0.0003577648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001525526,0.00004605814,0.3415236,0.00002536531,0.00006744139,0.0000350816,0.0002278307,0.000005692301,0.6488891,0.000003139623,0.006480212,0.002543933],"study_design_scores_gemma":[0.005829257,0.001259148,0.6497473,0.00078643,0.000665497,0.0006041062,0.0004206318,0.0001631815,0.119428,0.00001460286,0.21947,0.001611883],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815889,0.0004216017,0.004739768,0.0119957,0.000156745,0.0005161857,0.0001369382,0.0001284793,0.0003156558],"genre_scores_gemma":[0.9569729,0.0000298917,0.02066675,0.02074263,0.001191403,0.00000995545,0.0001326582,0.00004977029,0.0002040174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5294611,"threshold_uncertainty_score":0.9998896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02140882272434397,"score_gpt":0.2777495313155692,"score_spread":0.2563407085912252,"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."}}