{"id":"W6900551965","doi":"10.60510/awfwi02981","title":"IGSN AWFWI02981 (EN22002-TG08): Individual Sample (Biology, leaf for DNA analyses) of sample EN22002-T08 from Takhini River, 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); Sample preparation","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.00170416,0.003258524,0.004865027,0.003408393,0.000382026,0.0003556868,0.003877453,0.003339556,0.01366776],"category_scores_gemma":[0.007611619,0.003320453,0.002364302,0.002471045,0.002424027,0.0004293089,0.001697894,0.001868065,0.001595766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008797735,"about_ca_system_score_gemma":0.001299801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9565246,"about_ca_topic_score_gemma":0.8041658,"domain_scores_codex":[0.9865163,0.0008374947,0.003208241,0.004553074,0.001650049,0.003234845],"domain_scores_gemma":[0.9834527,0.00748859,0.002897145,0.00439717,0.0006711095,0.001093298],"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":[0.0003396339,0.0006558836,0.001107217,0.0009508537,0.005634331,0.00004191937,0.001883546,0.00004424001,0.0001108268,0.0014659,0.9848021,0.002963542],"study_design_scores_gemma":[0.003692652,0.0005759685,0.0004585375,0.0008528469,0.004049727,0.0000329358,0.000701691,0.000140133,0.001775817,0.02363364,0.9608017,0.003284384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008205432,0.01365172,0.02191642,0.000142536,0.002878155,0.0034986,0.9544879,0.001741476,0.0008626624],"genre_scores_gemma":[0.007036013,0.0003988533,0.05053828,0.00044577,0.003011538,0.001129541,0.9312495,0.00484848,0.001342005],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1523587,"threshold_uncertainty_score":0.9991816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0918449674464523,"score_gpt":0.3466627733101263,"score_spread":0.254817805863674,"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."}}