{"id":"W2061949512","doi":"10.1038/msb.2009.95","title":"Chemogenomic profiling predicts antifungal synergies","year":2009,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Biotechnology Research Institute; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Biology; Profiling (computer programming); Computational biology; Antifungal; Bioinformatics; Microbiology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031215,0.0003774668,0.0005208136,0.001305876,0.0001611736,0.0005248194,0.0001591468,0.0004002078,0.0007770109],"category_scores_gemma":[0.0009870478,0.0001359098,0.000362953,0.0007841655,0.0001590556,0.0002794261,0.000192917,0.0002265495,0.0003274048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004473169,"about_ca_system_score_gemma":0.0004078047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001234461,"about_ca_topic_score_gemma":0.001929922,"domain_scores_codex":[0.9997842,0.00004584492,0.00001382479,0.00005572931,0.00007352405,0.00002692338],"domain_scores_gemma":[0.9995177,0.0001901264,0.0001306414,0.00003077044,0.00009239786,0.00003855424],"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":[0.001537435,0.0006252964,0.2051104,0.0001922352,0.0002084811,0.0001897146,0.00004060355,0.09053251,0.5975615,0.0006315116,0.001288041,0.1020822],"study_design_scores_gemma":[0.00006208622,0.0009898937,0.1966739,0.00001650327,0.0002281724,0.0005291598,0.00009967925,0.5359242,0.2605684,0.002142529,0.002705052,0.00006043039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806464,0.0005043442,0.01472711,0.0001963668,0.000008411987,0.0000415208,0.002170028,0.0003101736,0.001395649],"genre_scores_gemma":[0.9889976,0.0002112738,0.008274009,0.00007838857,0.000006665456,0.00002687519,0.002138713,0.00001466436,0.0002516845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001305876,"threshold_uncertainty_score":0.003245533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255697351729213,"score_gpt":0.2750572945750075,"score_spread":0.2625003210577154,"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."}}