{"id":"W6902043386","doi":"10.6084/m9.figshare.19745608.v2","title":"Nanopore-only assemblies for genomic surveillance of the global priority drug-resistant pathogen, Klebsiella pneumoniae","year":2023,"lang":"en","type":"dataset","venue":"London School of Hygiene & Tropical Medicine","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Klebsiella pneumoniae; Typing; Multilocus sequence typing; Table (database); Genome; 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":[0.001731511,0.001496549,0.001465273,0.002057276,0.00113138,0.001703993,0.002513641,0.001959294,0.03560359],"category_scores_gemma":[0.006302503,0.0009506553,0.001499094,0.002778973,0.0004110317,0.0008081579,0.001842716,0.001767585,0.03034558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008790306,"about_ca_system_score_gemma":0.002245763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01586305,"about_ca_topic_score_gemma":0.03861452,"domain_scores_codex":[0.9989946,0.0001873963,0.0001310729,0.0003935219,0.0001634,0.0001299209],"domain_scores_gemma":[0.997233,0.001128365,0.0003271859,0.0005553145,0.0004703125,0.0002858631],"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":[0.000906038,0.00008477776,0.01001026,0.003732341,0.0005537475,0.0001893482,0.0001445722,0.001954927,0.004264306,0.001568809,0.9676627,0.008928182],"study_design_scores_gemma":[0.001547583,0.0001907808,0.03453476,0.001102124,0.000576105,0.0004685371,0.0001942079,0.001992171,0.003689912,0.005385536,0.9502095,0.0001088025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000751531,0.0001498937,0.0002779134,0.00005193168,0.0000238593,0.00001323074,0.9979289,0.0003455221,0.0004572902],"genre_scores_gemma":[0.00105016,0.00006414935,0.000577807,0.00005644836,0.000004467671,0.00005147859,0.9978483,0.00007612382,0.0002710637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03560359,"threshold_uncertainty_score":0.1191059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631386717425395,"score_gpt":0.2909825066613547,"score_spread":0.2746686394871007,"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."}}