{"id":"W4413837496","doi":"10.1016/j.tim.2025.08.009","title":"Scientific mobility in microbiology – 8","year":2025,"lang":"en","type":"article","venue":"Trends in Microbiology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; Microbiology; Clinical microbiology; Computational biology","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":[0.01667316,0.001205045,0.0009110264,0.002954707,0.00301765,0.01213775,0.002252773,0.006789472,0.05304663],"category_scores_gemma":[0.01690554,0.0004846541,0.0008009883,0.002079778,0.01076869,0.0159865,0.01023626,0.008938593,0.01385281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004280328,"about_ca_system_score_gemma":0.008680699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001086605,"about_ca_topic_score_gemma":0.002094254,"domain_scores_codex":[0.9911358,0.003378272,0.0005231375,0.001010934,0.0028982,0.001053622],"domain_scores_gemma":[0.9788042,0.004581481,0.001385159,0.003255558,0.004869766,0.007103952],"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":[0.00005419483,0.00005523085,0.000614486,0.0004262176,0.00002085338,0.0001061084,0.001415082,0.0001146173,0.0009684376,0.346615,0.5229078,0.126702],"study_design_scores_gemma":[0.000006668845,0.00003097144,0.000413955,0.0002635826,0.000004102652,0.00008749833,0.0006169189,0.00005607695,0.00009890475,0.04024873,0.9581628,0.000009882569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002365431,0.1057091,0.003330212,0.5710543,0.1355934,0.00003594697,0.0001665354,0.0002556223,0.1814894],"genre_scores_gemma":[0.1146859,0.1041315,0.005803136,0.1453006,0.2808926,0.0002159549,0.0005427249,0.0006524373,0.347775],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05304663,"threshold_uncertainty_score":0.1774586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284715218423181,"score_gpt":0.2700074708744373,"score_spread":0.2571603186902055,"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."}}