{"id":"W4403600184","doi":"10.1099/mgen.0.001308","title":"AMRColab – a user-friendly antimicrobial resistance detection and visualization tool","year":2024,"lang":"en","type":"article","venue":"Microbial Genomics","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Ministry of Higher Education, Malaysia","keywords":"Visualization; User interface; Public health; Modular design; Interface (matter); Data science; Computer science; World Wide Web; Medicine; Data mining; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001908679,0.0001190235,0.00009022305,0.00005013932,0.0001250375,0.000259001,0.00008106402,0.0001272029,0.00001347662],"category_scores_gemma":[0.00006745548,0.0001364407,0.00004059976,0.0001121021,0.00005375473,0.00001102487,0.00007288445,0.00006282976,0.00002244708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004333752,"about_ca_system_score_gemma":0.00006816069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002582229,"about_ca_topic_score_gemma":0.0004761367,"domain_scores_codex":[0.9991376,0.00004703673,0.0002211159,0.000404648,0.00003670821,0.0001529008],"domain_scores_gemma":[0.9996591,0.000008181015,0.00004211886,0.0001932153,0.0000622673,0.00003508434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005629408,0.00001526617,0.0000498208,0.00007879943,0.00001557808,0.000001264359,0.0000734871,0.000004334056,0.9942364,0.0001396139,0.003729836,0.001599294],"study_design_scores_gemma":[0.0001951866,0.00004832031,0.0008096384,0.00002863306,0.00001876639,0.00002239177,0.00001681,0.0001354431,0.6526785,0.00001655207,0.3458374,0.0001922942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854045,0.0002320156,0.01329426,0.000103033,0.0005650042,0.000200408,0.0000583219,0.00005327953,0.00008919855],"genre_scores_gemma":[0.9952287,0.0001147012,0.001564265,0.0001739391,0.0003842954,0.000006398705,0.0001533791,0.00003135127,0.002342965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3421076,"threshold_uncertainty_score":0.5563891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006941000369148651,"score_gpt":0.2366728801591424,"score_spread":0.2297318797899938,"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."}}