{"id":"W7095223830","doi":"","title":"GENETIC DIVERSITY (ORF5) OF PRRSV ISOLATES FROM A HERD WITH SAMS.","year":2003,"lang":"en","type":"article","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Abortion; Genetic diversity; Herd; Mortality rate; Population; Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003370262,0.0002970995,0.0001832837,0.0005466504,0.0005103695,0.0004552681,0.0002295148,0.0005508316,0.0006266622],"category_scores_gemma":[0.000621844,0.0001305921,0.0003040046,0.0004189356,0.000308506,0.0001277493,0.0001985481,0.0004073492,0.000146487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003615542,"about_ca_system_score_gemma":0.0002529836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007799285,"about_ca_topic_score_gemma":0.008243521,"domain_scores_codex":[0.9996461,0.00005432047,0.00002908023,0.0001069417,0.00007551784,0.0000880584],"domain_scores_gemma":[0.9997851,0.00005929374,0.00005159406,0.00001571736,0.00003362018,0.00005462056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001291178,0.0006445965,0.6779608,0.0000793082,0.0001768164,0.008335249,0.002978216,0.0003648816,0.2966569,0.0001999707,0.0005768072,0.01073532],"study_design_scores_gemma":[0.00002751419,0.0008209769,0.9879804,0.00001577926,0.00004381377,0.004937506,0.0008883338,0.0005249203,0.003891851,0.00003085507,0.0008307985,0.000007131668],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993549,0.00003938289,0.00008799144,0.00001810529,0.000004523738,0.000007788116,0.0002540383,0.000001867092,0.0002313186],"genre_scores_gemma":[0.9986577,0.00003059987,0.0002018843,0.00004181821,0.000005824631,0.00000457763,0.0008271944,0.00000207124,0.0002283573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007799285,"threshold_uncertainty_score":0.01550782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01375215152353013,"score_gpt":0.2144230712291015,"score_spread":0.2006709197055714,"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."}}