{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001345282,0.00165439,0.001372514,0.00625902,0.002371348,0.001785987,0.003074481,0.001728529,0.1499054],"category_scores_gemma":[0.003016052,0.001067699,0.000656001,0.01322341,0.0006770142,0.0009424152,0.00209214,0.0009371932,0.148987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003374773,"about_ca_system_score_gemma":0.007744749,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2021062,"about_ca_topic_score_gemma":0.3743061,"domain_scores_codex":[0.9984612,0.00008279837,0.0001438488,0.0005199644,0.0003857927,0.0004063196],"domain_scores_gemma":[0.9976079,0.0001815138,0.0002147132,0.0007525797,0.0009440707,0.0002993199],"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":[0.0005142933,0.00009664975,0.0125818,0.001592245,0.0001000534,0.0002684137,0.001294689,0.0004037248,0.01154401,0.003236327,0.9209746,0.04739314],"study_design_scores_gemma":[0.00006164311,0.00002679224,0.03662123,0.0002051424,0.00007009002,0.000153568,0.0003727109,0.0001077394,0.002208573,0.0008757361,0.9592578,0.00003893649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00310844,0.00007465636,0.001700887,0.00004655122,0.00004619504,0.000112088,0.9758232,0.001131447,0.01795651],"genre_scores_gemma":[0.003161493,0.00006577875,0.002448014,0.00006393055,0.000006526346,0.0002277859,0.9829164,0.001094483,0.01001572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7978938,"threshold_uncertainty_score":0.5014836,"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."}}