{"id":"W2138874841","doi":"10.1128/ec.00334-13","title":"Using Aspergillus nidulans To Identify Antifungal Drug Resistance Mutations","year":2013,"lang":"en","type":"article","venue":"Eukaryotic Cell","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Canadian Institutes of Health Research","keywords":"Aspergillus nidulans; Biology; Antifungal drug; Antifungal; Drug resistance; Echinocandins; Aspergillus; Drug; Mutation; Fungal protein; Genetics; Microbiology; Computational biology; Saccharomyces cerevisiae; Gene; Amphotericin B; Pharmacology; Mutant","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002355245,0.0002222547,0.0003589444,0.0001336878,0.0002137439,0.00007487202,0.0001622853,0.00007979182,0.002023124],"category_scores_gemma":[0.0001593998,0.0002054147,0.0001609452,0.0004430559,0.0001060149,0.000198535,0.00006391943,0.0002396732,0.001911329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001750168,"about_ca_system_score_gemma":0.0001654224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002886065,"about_ca_topic_score_gemma":0.0002436159,"domain_scores_codex":[0.9980813,0.00006605898,0.0004238458,0.0005036674,0.0004481068,0.0004770022],"domain_scores_gemma":[0.998567,0.0001038394,0.00007964497,0.0006317307,0.0002535657,0.0003642566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002028201,0.0006668664,0.7820402,0.0005977808,0.00007807669,0.0002387826,0.001527381,0.0001633986,0.1521081,0.0003374979,0.06141172,0.0006274368],"study_design_scores_gemma":[0.000710037,0.00004470375,0.9861599,0.0001701355,0.0001136167,0.00001189254,0.0007286384,0.0005135974,0.009840893,0.0003669942,0.001052043,0.0002875253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660242,0.0003541249,0.002758938,0.001113308,0.0003228733,0.0007846208,0.0000133525,0.0001034004,0.02852514],"genre_scores_gemma":[0.9406991,0.00001347496,0.008775056,0.0006602341,0.0001575891,0.00001681268,0.00002796813,0.00003768731,0.04961209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2041197,"threshold_uncertainty_score":0.9988891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02937111497571449,"score_gpt":0.3197167034635851,"score_spread":0.2903455884878706,"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."}}