{"id":"W6957444776","doi":"10.60510/awfwi03359","title":"IGSN AWFWI03359 (EN22033-TG05): Individual Sample (Biology, leaf for DNA analyses) of sample EN22033-T05 from Richardson 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; Analytical Chemistry (journal); Sampling (signal processing)","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":[0.001001577,0.001561691,0.001311361,0.00626158,0.002520604,0.001606029,0.002768717,0.001474368,0.1217382],"category_scores_gemma":[0.002315706,0.0009260164,0.0006237984,0.01435016,0.0005911751,0.0008100909,0.001774339,0.0009255943,0.1232025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002702647,"about_ca_system_score_gemma":0.006369664,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1954311,"about_ca_topic_score_gemma":0.3799977,"domain_scores_codex":[0.998895,0.00005138683,0.00009899886,0.0004116716,0.0002533332,0.000289754],"domain_scores_gemma":[0.998154,0.0001273817,0.0001707307,0.0005692315,0.0007289439,0.0002496712],"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":[0.00056894,0.0001006151,0.01590948,0.001486081,0.0001297916,0.0002858489,0.001420287,0.0004285261,0.01516973,0.003160469,0.9089127,0.05242759],"study_design_scores_gemma":[0.00006442222,0.00002828013,0.04938058,0.0001957507,0.00009297978,0.0001730528,0.0003798444,0.0001242905,0.002175444,0.0008313335,0.9465131,0.00004105593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004231039,0.00008045784,0.001764075,0.00004125637,0.00004733785,0.0001136118,0.9745778,0.001331261,0.01781326],"genre_scores_gemma":[0.003831114,0.00006686433,0.002526779,0.0000655708,0.000007629939,0.0002066243,0.9835782,0.001145144,0.008572153],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8045689,"threshold_uncertainty_score":0.4072548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08004812424095688,"score_gpt":0.3526744006437517,"score_spread":0.2726262764027948,"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."}}