{"id":"W6919205253","doi":"10.60510/awfwi03530","title":"IGSN AWFWI03530 (EN22049-TG19): Individual Sample (Biology, leaf for DNA analyses) of sample EN22049-T19 from Ogilvie Mountains, Yukon, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sample (material); DNA; Sample preparation; Analytical Chemistry (journal)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00119174,0.001839382,0.00146064,0.006974279,0.002504342,0.001828286,0.003125906,0.001626267,0.1616856],"category_scores_gemma":[0.002576183,0.001036628,0.0007228064,0.01384052,0.0006623135,0.001008134,0.002249281,0.0009508464,0.1714561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002613093,"about_ca_system_score_gemma":0.006130539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1312187,"about_ca_topic_score_gemma":0.2745432,"domain_scores_codex":[0.9987143,0.00006039954,0.0001081612,0.0004553643,0.0003174158,0.0003443683],"domain_scores_gemma":[0.9980173,0.0001443133,0.000180798,0.0006104176,0.0007721724,0.0002750061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005098566,0.00009805121,0.01076323,0.001689835,0.0001027786,0.0002615058,0.00124003,0.000388124,0.01322322,0.003022762,0.9176016,0.05109901],"study_design_scores_gemma":[0.00005179311,0.00002335171,0.02722263,0.0001881578,0.00007030801,0.0001436589,0.0003025541,0.00009185123,0.002155925,0.0007766522,0.9689378,0.00003536695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003124682,0.00008986837,0.001971635,0.00004454232,0.00005155368,0.0001063967,0.9737405,0.001708142,0.01916273],"genre_scores_gemma":[0.002670889,0.00007040449,0.002703974,0.00006024227,0.000007512999,0.0002020574,0.983727,0.001678984,0.00887898],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8687813,"threshold_uncertainty_score":0.5408921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09068078660420895,"score_gpt":0.3563696160470205,"score_spread":0.2656888294428116,"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."}}