{"id":"W6975617157","doi":"10.60510/awfwi03608","title":"IGSN AWFWI03608 (EN22059-TG01): Individual Sample (Biology, leaf for DNA analyses) of sample EN22059-T01 from Nordenskiold River Lowlands, 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","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":[0.001524494,0.003181356,0.004746641,0.003175509,0.0003595552,0.0003553337,0.003758491,0.003162109,0.01123618],"category_scores_gemma":[0.005403443,0.003140565,0.002256259,0.002204863,0.002084293,0.000354092,0.001710952,0.001802376,0.001528944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007359009,"about_ca_system_score_gemma":0.001163235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9157982,"about_ca_topic_score_gemma":0.6852201,"domain_scores_codex":[0.9872425,0.0006297485,0.002997966,0.004484633,0.001571326,0.003073892],"domain_scores_gemma":[0.9847348,0.006347822,0.002506116,0.004683039,0.0007088927,0.001019376],"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":[0.0004090565,0.0005997371,0.003817187,0.001063271,0.005616257,0.00004265413,0.0016691,0.00004632791,0.00009831854,0.0009054824,0.9847341,0.0009985173],"study_design_scores_gemma":[0.003996542,0.0005455043,0.0008015373,0.0009856367,0.004206755,0.00003128083,0.0005365321,0.0001487893,0.001527635,0.01575173,0.9681413,0.003326745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00262545,0.009242575,0.01183994,0.0001487752,0.002924231,0.003325477,0.9677403,0.001479084,0.0006741923],"genre_scores_gemma":[0.01644488,0.0003475423,0.0314333,0.0004099054,0.003527809,0.001012039,0.940676,0.004483467,0.001665058],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2305781,"threshold_uncertainty_score":0.9992485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07618213134673602,"score_gpt":0.3371559987036871,"score_spread":0.2609738673569511,"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."}}