{"id":"W6938361647","doi":"10.60510/awfwi03610","title":"IGSN AWFWI03610 (EN22059-TG03): Individual Sample (Biology, leaf for DNA analyses) of sample EN22059-T03 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":[0.001268488,0.00168969,0.001373638,0.006553325,0.002218424,0.001791876,0.002970047,0.001608383,0.1474959],"category_scores_gemma":[0.002841027,0.001047311,0.0006558779,0.01395107,0.0006717046,0.0009294624,0.00205338,0.0008987804,0.1518112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003367171,"about_ca_system_score_gemma":0.007914106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2177918,"about_ca_topic_score_gemma":0.3851624,"domain_scores_codex":[0.9985464,0.00007647187,0.0001369411,0.0004903338,0.0003670499,0.0003828217],"domain_scores_gemma":[0.9977362,0.0001611042,0.0002090006,0.0006947524,0.0009211991,0.0002777048],"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":[0.0005045448,0.00008850877,0.01256124,0.001655546,0.0000988571,0.0002549149,0.001318266,0.0004145651,0.01109006,0.003155452,0.9188251,0.05003284],"study_design_scores_gemma":[0.00005561257,0.00002419565,0.03555461,0.000199547,0.00006616802,0.0001448223,0.0003570942,0.0001106657,0.002120201,0.0008442676,0.9604851,0.00003762705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00302515,0.00007799191,0.001681546,0.00004126852,0.00004168023,0.0001053063,0.9763432,0.001218724,0.01746509],"genre_scores_gemma":[0.003075504,0.0000684225,0.002566805,0.00005772835,0.000006238504,0.0002210796,0.9829548,0.001199136,0.009850346],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7822082,"threshold_uncertainty_score":0.4934228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07459075180456018,"score_gpt":0.3371218647924422,"score_spread":0.262531112987882,"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."}}