{"id":"W6948237844","doi":"10.5061/dryad.t1g1jwt0j","title":"Salmonella enterica serovar Enteritidis EN1660 proteome spectral data","year":2020,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Gene; Virulence; Proteome; Salmonella enterica; Pathogenicity island; Repressor; Plasmid; Prophage; Clade","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":[0.0004996298,0.001816998,0.0009196956,0.00293417,0.0005987586,0.001006025,0.0008602558,0.000863863,0.01204014],"category_scores_gemma":[0.001449551,0.0002989455,0.0008157958,0.004341122,0.0002647266,0.0007176871,0.001225405,0.0006619431,0.0143002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006177341,"about_ca_system_score_gemma":0.001330925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01095851,"about_ca_topic_score_gemma":0.01890978,"domain_scores_codex":[0.9996075,0.00004491438,0.00004783752,0.0001566296,0.00007415342,0.00006905797],"domain_scores_gemma":[0.9994784,0.0001056334,0.0000894662,0.00008848377,0.0001605903,0.00007736358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001252024,0.0001504302,0.04049943,0.01163491,0.0007234675,0.0006076065,0.0003250646,0.002718803,0.010093,0.001926998,0.8987945,0.03127383],"study_design_scores_gemma":[0.0002143225,0.00007075025,0.07356706,0.0006023707,0.0002089877,0.0003442795,0.0003460508,0.0009101851,0.002446652,0.0009497453,0.9202791,0.00006049448],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002749928,0.000308866,0.00009287036,0.00002789093,0.00001406157,0.000006305681,0.9958246,0.0002285494,0.0007470428],"genre_scores_gemma":[0.002758706,0.0001812272,0.0003114896,0.00001778422,0.000002979517,0.00002051509,0.9964072,0.00002428125,0.0002758169],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01204014,"threshold_uncertainty_score":0.04027826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1125185686546865,"score_gpt":0.3242805680884671,"score_spread":0.2117619994337805,"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."}}