{"id":"W6961201142","doi":"10.1371/journal.pone.0262229.s001","title":"Sample locations and identified positives from New Brunswick for 2016 and 2017.","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); False positive paradox; Sampling (signal processing); Statistical analysis","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":[0.000712788,0.0008176527,0.0003993747,0.00318477,0.002006272,0.0007949701,0.002009844,0.0004972775,0.03340264],"category_scores_gemma":[0.002227145,0.0004019408,0.0003957696,0.006277465,0.0004445583,0.0005689687,0.0008228897,0.0008187836,0.006915287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007180389,"about_ca_system_score_gemma":0.0077284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8730254,"about_ca_topic_score_gemma":0.9529998,"domain_scores_codex":[0.9993436,0.00004682649,0.00006026274,0.0001780625,0.0001442961,0.0002269984],"domain_scores_gemma":[0.9985527,0.0001059092,0.0002532869,0.0001490435,0.0007728862,0.0001660796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003300212,0.00005280293,0.2429492,0.001254429,0.0001256806,0.001042594,0.001836558,0.0008853894,0.006495566,0.002059837,0.6853042,0.05766381],"study_design_scores_gemma":[0.00007119842,0.0000250968,0.6211933,0.001110465,0.0001114733,0.0007648604,0.006544294,0.0004217773,0.003308215,0.0006478268,0.3657204,0.00008111534],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0288116,0.0007230375,0.001388528,0.0006521773,0.0004287247,0.0004443583,0.94806,0.0002325545,0.01925905],"genre_scores_gemma":[0.1705174,0.001859633,0.01246027,0.00192669,0.00008574747,0.001262574,0.7652082,0.0004433326,0.04623601],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1269746,"threshold_uncertainty_score":0.2554448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02915868684519083,"score_gpt":0.2554393129448272,"score_spread":0.2262806260996364,"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."}}