{"id":"W2128487112","doi":"10.1186/gb-2010-11-7-r71","title":"Experimental annotation of the human pathogen Candida albicans coding and noncoding transcribed regions using high-resolution tiling arrays","year":2010,"lang":"en","type":"article","venue":"Genome biology","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Biotechnology Research Institute","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research","keywords":"ORFS; Biology; Genome; Tiling array; Gene; Genetics; Candida albicans; Computational biology; In silico; Transcriptome; Open reading frame; Gene expression","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":[0.0001907337,0.00008942957,0.0001973062,0.00004630123,0.0002314594,0.000004698602,0.00005837767,0.0001083572,0.00004250281],"category_scores_gemma":[0.00003278265,0.0000664339,0.00006004001,0.00007751679,0.0002708305,0.00003248427,0.00002172799,0.000161975,5.047521e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004900174,"about_ca_system_score_gemma":0.0000564685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003512909,"about_ca_topic_score_gemma":0.0003035851,"domain_scores_codex":[0.9992881,0.00005420363,0.0002135572,0.0002067696,0.00006374276,0.0001736587],"domain_scores_gemma":[0.9995883,0.0000307235,0.00008958954,0.0001929025,0.0000482848,0.00005025377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004313014,0.00002800949,0.03481147,0.0000194844,0.0000140867,0.000001082098,0.0008934754,0.000003136157,0.9620745,0.002004198,0.000001497696,0.0001059694],"study_design_scores_gemma":[0.002391601,0.0005077199,0.5961472,0.0001080159,0.0002042676,0.00006513036,0.004445696,0.0008430056,0.393349,0.0008195709,0.0007823104,0.0003364332],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971503,0.0002239298,0.001869373,0.0001364148,0.0001633729,0.0002301128,0.00003760006,0.00001377203,0.0001751235],"genre_scores_gemma":[0.9988477,0.00001109269,0.0008884965,0.00005444177,0.0001126004,0.00000451848,0.00004235823,0.000008351535,0.00003044728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5687255,"threshold_uncertainty_score":0.2709096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03467771159908313,"score_gpt":0.3089656271621112,"score_spread":0.2742879155630281,"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."}}