{"id":"W3000070347","doi":"10.3390/microorganisms8010117","title":"Subcellular Location of Piscirickettsia salmonis Heat Shock Protein 60 (Hsp60) Chaperone by Using Immunogold Labeling and Proteomic Analysis","year":2020,"lang":"en","type":"article","venue":"Microorganisms","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency; Dalhousie University","funders":"Fondo de Fomento al Desarrollo Científico y Tecnológico; Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Comisión Nacional de Investigación Científica y Tecnológica; Universidad Austral de Chile","keywords":"Biology; HSP60; GroEL; Immunogold labelling; Heat shock protein; Secretion; Chaperone (clinical); Microbiology; Cell envelope; Type three secretion system; Cytoplasm; Cell biology; Hsp70; Virulence; Biochemistry; Antibody; Escherichia coli; Genetics; Gene","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":[0.00008831041,0.0002772543,0.0001846014,0.0004295019,0.0002231411,0.0002772731,0.0001325674,0.0002287415,0.0006114603],"category_scores_gemma":[0.00007974743,0.0001182877,0.0002359268,0.0002759658,0.000173075,0.0002118805,0.000228223,0.0002509316,0.0003479183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002367939,"about_ca_system_score_gemma":0.0001578215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009466955,"about_ca_topic_score_gemma":0.001138991,"domain_scores_codex":[0.9999397,0.000004914046,0.000004108307,0.0000183501,0.00001418404,0.00001877568],"domain_scores_gemma":[0.9999564,0.000005456715,0.00001050154,0.000004057098,0.00001247456,0.0000110857],"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":[0.0000325571,0.000007599686,0.0004782102,0.00003623637,0.00000385911,0.00005200288,0.00002098751,0.00002493802,0.9984263,0.00006485975,0.00002180554,0.0008307009],"study_design_scores_gemma":[0.00001355334,0.0002131616,0.06162401,0.00002833213,0.00006463061,0.0008565609,0.0003429264,0.003513631,0.9273109,0.0002889194,0.005724223,0.00001906266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841725,0.001769085,0.01111147,0.00010449,0.00004183458,0.00002776925,0.0004750886,0.0001023489,0.002195368],"genre_scores_gemma":[0.9835914,0.001858952,0.01042885,0.00008099199,0.00002051555,0.00003848898,0.000968349,0.00003322396,0.002979191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009466955,"threshold_uncertainty_score":0.002045512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099868218707433,"score_gpt":0.2083437198362979,"score_spread":0.1973450376492236,"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."}}