{"id":"W2416588403","doi":"10.1038/srep18227","title":"MycoCAP - Mycobacterium Comparative Analysis Platform","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Universiti Malaya","keywords":"Mycobacterium; Biology; Genome; Mycobacterium tuberculosis; Mycobacterium abscessus; Mycobacterium tuberculosis complex; Mycobacterium marinum; Mycobacterium leprae; Computational biology; Phylogenetics; Virulence; Comparative genomics; Genetics; Genomics; Leprosy; Gene; Tuberculosis; Bacteria; Medicine","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":[0.004616261,0.00191732,0.002435036,0.004593811,0.001685576,0.002469686,0.00421572,0.001746346,0.09000508],"category_scores_gemma":[0.006017786,0.001443072,0.001802862,0.003335523,0.0007568197,0.002661671,0.002816563,0.003039092,0.04015095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004999,"about_ca_system_score_gemma":0.002688177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001562602,"about_ca_topic_score_gemma":0.001977934,"domain_scores_codex":[0.9980447,0.0005262885,0.000177475,0.0006121471,0.0003870064,0.0002522967],"domain_scores_gemma":[0.9973602,0.001162054,0.0002883118,0.0003925605,0.0005009919,0.000295817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006039483,0.0004335673,0.004899454,0.006478187,0.0006876191,0.001530385,0.001034182,0.002190304,0.05751236,0.02513479,0.794793,0.09926672],"study_design_scores_gemma":[0.0009944064,0.0005513272,0.01376253,0.001027083,0.0004076183,0.001524873,0.0003011079,0.02132071,0.0462405,0.02564756,0.887787,0.0004352645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.01991919,0.003967705,0.2064937,0.001585571,0.001573872,0.002140884,0.3813032,0.3321342,0.05088167],"genre_scores_gemma":[0.06170732,0.002204151,0.5405154,0.001845337,0.0004714415,0.008670017,0.3281705,0.03795777,0.01845817],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.09000508,"threshold_uncertainty_score":0.301097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08449539093087348,"score_gpt":0.3484212752886185,"score_spread":0.263925884357745,"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."}}