{"id":"W6900605230","doi":"10.60510/awfwi03403","title":"IGSN AWFWI03403 (EN22037-TG02): Individual Sample (Biology, leaf for DNA analyses) of sample EN22037-T02 from Richardson 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; Analytical Chemistry (journal); Sampling (signal processing)","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":[0.001125845,0.001728787,0.001463132,0.006852339,0.002688986,0.001751509,0.003097477,0.001596114,0.124355],"category_scores_gemma":[0.002589713,0.001004363,0.0006825966,0.0152526,0.0006355549,0.000875308,0.001942874,0.0009956178,0.1306215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002896538,"about_ca_system_score_gemma":0.007050955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2000952,"about_ca_topic_score_gemma":0.3801836,"domain_scores_codex":[0.9987848,0.00005851049,0.0001092211,0.0004523272,0.0002766233,0.0003185227],"domain_scores_gemma":[0.9979797,0.0001443852,0.000183278,0.000641251,0.0007776881,0.0002736471],"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":[0.0005988958,0.0001053741,0.01487296,0.001612358,0.0001393102,0.0002833133,0.001485864,0.0004515476,0.01563952,0.003304486,0.9092501,0.05225628],"study_design_scores_gemma":[0.00006950411,0.00002892299,0.04330479,0.0002006666,0.0001000892,0.0001689613,0.0003700092,0.0001305569,0.002285394,0.0008994465,0.9523981,0.00004365979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003756711,0.00007875069,0.001813548,0.00004184572,0.00004521905,0.0001146277,0.9759756,0.001386688,0.01678696],"genre_scores_gemma":[0.003412951,0.000066897,0.002622938,0.0000646011,0.000007580353,0.0002222948,0.9841892,0.001263218,0.008150394],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7999048,"threshold_uncertainty_score":0.4160088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08139523374979843,"score_gpt":0.3521804117864575,"score_spread":0.2707851780366591,"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."}}