{"id":"W1998851378","doi":"10.1016/j.jglr.2014.08.004","title":"In vivo and in vitro phenotypic differences between Great Lakes VHSV genotype IVb isolates with sequence types vcG001 and vcG002","year":2014,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; New York Sea Grant, State University of New York; National Research Foundation; National Institutes of Health; U.S. Department of Commerce; Howard Hughes Medical Institute","keywords":"Genotype; Biology; In vivo; In vitro; Phenotype; Sequence (biology); Genetics; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005244341,0.0005354735,0.0002788869,0.0002988105,0.00028616,0.0005316754,0.0002711712,0.0004462745,0.002106227],"category_scores_gemma":[0.0006235262,0.0002366779,0.0004133571,0.0003303971,0.0003410961,0.000364767,0.0003715119,0.0009824225,0.0005779758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003765381,"about_ca_system_score_gemma":0.0003041678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0065712,"about_ca_topic_score_gemma":0.005429633,"domain_scores_codex":[0.9989876,0.0004086137,0.0001057024,0.000149212,0.0001449274,0.0002038683],"domain_scores_gemma":[0.9991705,0.0003835885,0.0001022253,0.00009492389,0.0001373637,0.0001114034],"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":[0.0006516683,0.000336862,0.004901521,0.000053763,0.00001904954,0.00006895706,0.0001644919,0.0001502756,0.9927811,0.00007691704,0.0001279325,0.0006674853],"study_design_scores_gemma":[0.00009747555,0.008224963,0.1236379,0.0000252724,0.0001020987,0.0007456897,0.001136706,0.001559163,0.8624063,0.0001461266,0.001890292,0.00002797568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966367,0.0001034894,0.0006502504,0.00003380959,0.00003519297,0.00004358636,0.001040064,0.000009976764,0.001446935],"genre_scores_gemma":[0.9908597,0.000161218,0.001475307,0.00009194012,0.00003494263,0.00008571888,0.004127688,0.00001815031,0.003145284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0065712,"threshold_uncertainty_score":0.01306593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0830632779401102,"score_gpt":0.3137623695127655,"score_spread":0.2306990915726553,"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."}}