{"id":"W6900391335","doi":"10.60510/awfwi03603","title":"IGSN AWFWI03603 (EN22058-TG12): Individual Sample (Biology, leaf for DNA analyses) of sample EN22058-T12 from Yukon 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001130216,0.001821259,0.001410485,0.006024147,0.002529346,0.001678087,0.002636532,0.001705283,0.1379243],"category_scores_gemma":[0.002375297,0.001032246,0.0006889901,0.01280175,0.0006083022,0.0008423578,0.002025254,0.0008875876,0.1339399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002837727,"about_ca_system_score_gemma":0.006981373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1781846,"about_ca_topic_score_gemma":0.3594742,"domain_scores_codex":[0.9987729,0.00006088855,0.0001104853,0.0004405882,0.000289272,0.0003257736],"domain_scores_gemma":[0.9983423,0.0001136534,0.000156343,0.0004930943,0.0006834875,0.000211151],"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":[0.0005047435,0.00008273697,0.01404297,0.001672895,0.0001169417,0.0003551702,0.001345467,0.0004235999,0.01349421,0.003071281,0.9133753,0.05151478],"study_design_scores_gemma":[0.00005682676,0.00002439159,0.03831801,0.0001991037,0.00008892894,0.0001909801,0.0003516822,0.0001153361,0.002265874,0.0008387066,0.9575066,0.0000435142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003459518,0.0000923268,0.002081075,0.00004596819,0.00004876922,0.0001226791,0.974961,0.00135293,0.01783579],"genre_scores_gemma":[0.003492453,0.00007520795,0.0027981,0.0000641141,0.000006950629,0.0002625409,0.982896,0.001198991,0.009205523],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8620757,"threshold_uncertainty_score":0.4614028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07986746650325979,"score_gpt":0.3407082814543026,"score_spread":0.2608408149510428,"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."}}