{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002943013,0.0001874123,0.0004665667,0.00008442945,0.00006489301,0.00001795275,0.0001159496,0.0002296401,0.00001693222],"category_scores_gemma":[0.0001456662,0.0001518464,0.0001383239,0.0001371978,0.00009937448,0.00003165219,0.00002500376,0.000179184,0.00006255977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007246859,"about_ca_system_score_gemma":0.0001096888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002451411,"about_ca_topic_score_gemma":0.000001336164,"domain_scores_codex":[0.9985847,0.0001055322,0.000358878,0.0004335591,0.0001319497,0.0003854157],"domain_scores_gemma":[0.9991966,0.00002180835,0.00008623687,0.0004668532,0.000108032,0.0001204346],"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":[0.0001376413,0.00007160923,0.04835302,0.0001076286,0.00005833631,0.0001542338,0.00002823474,0.00001220011,0.9443254,0.00552151,0.0002374661,0.0009927638],"study_design_scores_gemma":[0.004294169,0.003568459,0.2495934,0.0006237025,0.000367977,0.0008291394,0.0005747448,0.002892515,0.7227448,0.001046168,0.01234073,0.001124249],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830231,0.004421847,0.003977872,0.0002967933,0.0003230712,0.0005627551,0.0000129762,0.0001420684,0.007239489],"genre_scores_gemma":[0.998351,0.00004116427,0.000381388,0.0003737046,0.0001839918,0.00001359253,0.00007076091,0.000015343,0.0005689966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2215806,"threshold_uncertainty_score":0.6192119,"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."}}