{"id":"W1984826792","doi":"10.1016/j.ddtec.2005.05.022","title":"Yeast as a screening tool","year":2005,"lang":"en","type":"article","venue":"Drug Discovery Today Technologies","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"Semtech (Canada)","funders":"","keywords":"Yeast; Malleability; Computational biology; Biology; Biotechnology; Computer science; Genetics","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":[0.0008455838,0.000851098,0.001046117,0.00229796,0.000456538,0.001941801,0.0008150208,0.0008714458,0.003226757],"category_scores_gemma":[0.0005070152,0.0004336979,0.0005939569,0.0009916665,0.0006648625,0.001149607,0.002007716,0.001185624,0.004090179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005204704,"about_ca_system_score_gemma":0.0004414574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003338719,"about_ca_topic_score_gemma":0.0003246076,"domain_scores_codex":[0.9990026,0.000193374,0.00005705247,0.0001445096,0.0005318284,0.00007058807],"domain_scores_gemma":[0.9997029,0.00008884309,0.00002353014,0.00007487512,0.00005892562,0.00005107345],"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":[0.0004618016,0.0001869936,0.0008666092,0.0005641115,0.00006350614,0.0005647647,0.00008639511,0.0006554844,0.8638442,0.02768619,0.00706974,0.09795029],"study_design_scores_gemma":[0.00007114682,0.0005287104,0.0008863291,0.00008601002,0.000120357,0.001685847,0.00006634281,0.002707427,0.8343712,0.006991339,0.15244,0.00004523902],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2219525,0.06934289,0.5405912,0.007698378,0.00286455,0.001130905,0.0104328,0.02477942,0.1212073],"genre_scores_gemma":[0.6437454,0.04758609,0.2355046,0.002495144,0.0004224771,0.0008867834,0.008714218,0.0008092865,0.05983604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003226757,"threshold_uncertainty_score":0.01079458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01083452666231002,"score_gpt":0.2600188017705728,"score_spread":0.2491842751082628,"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."}}