{"id":"W1521075280","doi":"10.1002/9780470057414.ch9","title":"Microarrays for Studying Pathogenicity in <i>Candida Albicans</i>","year":2006,"lang":"en","type":"other","venue":"Medical Mycology","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute","funders":"","keywords":"Candida albicans; DNA microarray; Microarray; Pathogenicity; Corpus albicans; Computational biology; Biology; Oligonucleotide; Microarray analysis techniques; Microbiology; DNA; Genetics; Gene; Gene expression","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":[0.0004290324,0.000756842,0.0005024188,0.001591706,0.000391166,0.0007427414,0.0007876445,0.0007100916,0.03586562],"category_scores_gemma":[0.0004482041,0.0005354331,0.000500385,0.001509723,0.0001935966,0.0007349104,0.0004703198,0.00145118,0.0211206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000518777,"about_ca_system_score_gemma":0.0004378821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000831323,"about_ca_topic_score_gemma":0.002633727,"domain_scores_codex":[0.9996262,0.00005195991,0.00002249835,0.00004844231,0.0002227717,0.00002822181],"domain_scores_gemma":[0.9998331,0.00005143681,0.00001511243,0.00002042029,0.00006159839,0.00001823137],"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":[0.0001293717,0.0001090266,0.00023789,0.002090223,0.00002150058,0.0001454137,0.0000875129,0.0004519333,0.5137985,0.00927361,0.2022992,0.2713558],"study_design_scores_gemma":[0.00002015967,0.0001696191,0.0020433,0.0002695925,0.00002367012,0.0006601998,0.00004278603,0.0005627333,0.1440769,0.002843088,0.8492545,0.00003327752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01672005,0.1968154,0.2998213,0.01159432,0.01141023,0.002004234,0.02572878,0.0108867,0.4250189],"genre_scores_gemma":[0.02312718,0.1813534,0.377941,0.005843122,0.003347805,0.002176072,0.03287534,0.001436065,0.3719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03586562,"threshold_uncertainty_score":0.1199825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423948256653565,"score_gpt":0.2977705192085928,"score_spread":0.2835310366420571,"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."}}