{"id":"W4292222638","doi":"","title":"MAC-INMV-plus : a web application dedicated to genotyping of &lt;em&gt;Mycobacterium avium&lt;/em&gt; subsp. &lt;em&gt;paratuberculosis&lt;/em&gt; strains and other MAC members","year":2016,"lang":"en","type":"preprint","venue":"LillOA (Université de Lille (University Of Lille))","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Infection and Immunity","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Jiangsu Development and Reform Commission; Ministero della Salute; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Paratuberculosis; Genotyping; Mycobacterium; Mycobacterium avium subsp. paratuberculosis; Mycobacterium avium complex; Microbiology; Biology; Virology; Computer science; Computational biology; Genotype; Genetics; Gene; Bacteria","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":[0.001935577,0.002592053,0.001609256,0.001973388,0.0005211873,0.001402516,0.001517005,0.001555682,0.06693389],"category_scores_gemma":[0.003834234,0.001327246,0.0009845007,0.0007526991,0.0003073748,0.001053769,0.002302825,0.001067676,0.05767841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003228598,"about_ca_system_score_gemma":0.0006132176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008784157,"about_ca_topic_score_gemma":0.0009873667,"domain_scores_codex":[0.9990765,0.0001683665,0.00009145265,0.0003036227,0.0002313961,0.0001286166],"domain_scores_gemma":[0.9982684,0.0007013068,0.0001591796,0.0004621178,0.0001810807,0.0002278939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004301897,0.0004239599,0.01165666,0.001737003,0.000501647,0.000767738,0.0005165389,0.001597782,0.06524064,0.002672236,0.7127364,0.1978475],"study_design_scores_gemma":[0.001844628,0.000519048,0.04791008,0.0004986021,0.0003569842,0.002269657,0.0002842114,0.04638091,0.1338619,0.01626787,0.749303,0.0005030733],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01601652,0.0007304898,0.117345,0.0005311526,0.0004386464,0.0006107605,0.08736404,0.7646484,0.01231497],"genre_scores_gemma":[0.1525612,0.001402997,0.2918281,0.002492475,0.0009496362,0.005243795,0.3162853,0.1681856,0.06105084],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.06693389,"threshold_uncertainty_score":0.2239162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454070927424828,"score_gpt":0.2342392337095393,"score_spread":0.219698524435291,"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."}}