{"id":"W6930369453","doi":"10.5281/zenodo.13969103","title":"Escherichia and Shigella GTDB species identification MASH sketch for ECTYPER","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Reliability and Agreement in Measurement","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Sketch; Identification (biology); RefSeq; Shigella; Shigella dysenteriae; Escherichia coli; Taxonomy (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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00436034,0.0002222761,0.0002901356,0.0004691088,0.00115267,0.001989039,0.001461693,0.0001670384,0.03198432],"category_scores_gemma":[0.004471492,0.0001947831,0.0001003023,0.0007529522,0.0002318448,0.0001562499,0.0008412419,0.0002222769,0.01807782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001094787,"about_ca_system_score_gemma":0.000005917382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001885102,"about_ca_topic_score_gemma":0.0000100443,"domain_scores_codex":[0.9964812,0.0004217277,0.0005402247,0.0008818808,0.001328937,0.0003460076],"domain_scores_gemma":[0.9977711,0.0001794908,0.0003339799,0.0008817677,0.0006840804,0.0001495622],"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":[0.00002878734,0.00005698955,0.00001474146,0.00006617037,0.0000425079,0.000001367316,0.0003001387,0.000007362085,0.001086201,0.00219454,0.9500413,0.04615989],"study_design_scores_gemma":[0.0002697389,0.0001171665,0.001253319,0.00005805154,0.00002202345,0.00000345789,0.0004038286,0.0001362926,0.0001182628,0.001897478,0.9955053,0.0002150248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001595867,0.0004918082,0.01228307,0.002926304,0.001180662,0.002572143,0.001074857,0.002319039,0.9755563],"genre_scores_gemma":[0.01488762,0.0007123726,0.0007164428,0.0001560216,0.000767918,5.618137e-7,0.000790704,0.008245775,0.9737226],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04594486,"threshold_uncertainty_score":0.999047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1684600799327217,"score_gpt":0.3297593405007355,"score_spread":0.1612992605680138,"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."}}