{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001209666,0.0015289,0.002823483,0.002573055,0.0009596886,0.0001408743,0.002133259,0.002010232,0.004040784],"category_scores_gemma":[0.0002648634,0.001776522,0.001172327,0.001887399,0.000832256,0.0006168776,0.003841791,0.001401985,0.0003756538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002464866,"about_ca_system_score_gemma":0.001456169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001293892,"about_ca_topic_score_gemma":0.007182314,"domain_scores_codex":[0.9914114,0.0005621588,0.001030069,0.002677624,0.002222427,0.002096294],"domain_scores_gemma":[0.9915371,0.0004380287,0.001479364,0.002638134,0.001373566,0.002533788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01431926,0.002279332,0.01642741,0.00748202,0.007801478,0.001946816,0.04216313,0.0003512109,0.8157921,0.006646583,0.06125237,0.02353828],"study_design_scores_gemma":[0.04993571,0.005607578,0.3452553,0.01053723,0.0117759,0.0009785538,0.04607658,0.01591726,0.01788387,0.001133913,0.4837034,0.01119477],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629317,0.001673743,0.001586233,0.003669442,0.0004996043,0.003439642,0.002925735,0.0004582576,0.02281563],"genre_scores_gemma":[0.9819286,0.00373727,0.003946527,0.0006030751,0.0004528946,0.00003161435,0.000890573,0.0002638436,0.008145552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7979082,"threshold_uncertainty_score":0.999746,"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."}}