{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001513718,0.000303255,0.0005087291,0.0001346585,0.0002178653,0.00004317633,0.0002755677,0.0002217005,0.0003911848],"category_scores_gemma":[0.00002790826,0.0002877808,0.0001132738,0.000920437,0.0002065737,0.0001277809,0.0002083503,0.0002100567,0.0001148343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005574166,"about_ca_system_score_gemma":0.00005365588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002319236,"about_ca_topic_score_gemma":0.000006852999,"domain_scores_codex":[0.9984655,0.0001269112,0.0004519629,0.0005393036,0.00005181001,0.0003644791],"domain_scores_gemma":[0.999357,0.00001049466,0.000171763,0.0002822173,0.0001269505,0.0000515679],"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":[0.0001128895,0.00009835528,0.0005726722,0.0001428997,0.0009122072,0.000004094682,0.001197359,0.00003049593,0.9960539,0.0000483544,0.0007071272,0.0001196968],"study_design_scores_gemma":[0.001096958,0.0001194533,0.0004735868,0.00004304005,0.0009698208,0.000006551959,0.0004778953,0.0001135033,0.9946406,0.000007419177,0.00172462,0.0003265431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848102,0.009273931,0.004229227,0.0005897499,0.00004663873,0.000861246,0.00007362967,0.00007717266,0.00003818326],"genre_scores_gemma":[0.997647,0.00003570024,0.0007201342,0.0002617556,0.00001970815,0.00001452998,0.0005339858,0.000039115,0.0007281119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01283674,"threshold_uncertainty_score":0.9999574,"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."}}