{"id":"W6900522792","doi":"10.60510/awfwi03473","title":"IGSN AWFWI03473 (EN22044-TG02): Individual Sample (Biology, leaf for DNA analyses) of sample EN22044-T02 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":[0.001202988,0.001868711,0.001448214,0.006902246,0.002322823,0.001947811,0.003150088,0.001609563,0.1640094],"category_scores_gemma":[0.002779524,0.001024729,0.0007287085,0.01406431,0.0006413131,0.00101272,0.002238247,0.0009339209,0.1723467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002656458,"about_ca_system_score_gemma":0.006568576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.159501,"about_ca_topic_score_gemma":0.3017879,"domain_scores_codex":[0.9987009,0.00006379675,0.0001135503,0.0004453168,0.0003238143,0.0003525828],"domain_scores_gemma":[0.9978366,0.000153166,0.000201837,0.0006789508,0.0008487654,0.0002806632],"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":[0.0004350597,0.00008092395,0.009443914,0.001573361,0.00009177286,0.0002069542,0.001085388,0.0003942503,0.008446498,0.002553681,0.9313759,0.04431231],"study_design_scores_gemma":[0.00005046844,0.00002135749,0.02708031,0.0001827972,0.0000641829,0.0001217823,0.0002939888,0.0001027021,0.001820553,0.0007826341,0.9694447,0.00003448199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002532163,0.00007806092,0.001549285,0.00003974366,0.00004572992,0.00008944088,0.9774419,0.001451001,0.01677278],"genre_scores_gemma":[0.002528566,0.00006358093,0.00245691,0.00005296097,0.000007250938,0.0001862634,0.984558,0.001510912,0.008635502],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.840499,"threshold_uncertainty_score":0.5486661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09014098651552374,"score_gpt":0.3549686692302788,"score_spread":0.2648276827147551,"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."}}