{"id":"W6975375182","doi":"10.60510/awfwi03756","title":"IGSN AWFWI03756 (EN22071-TG01): Individual Sample (Biology, leaf for DNA analyses) of sample EN22071-T01 from Fort Nelson River lowlands, British Columbia, 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":[0.001443748,0.001920227,0.001506453,0.008321616,0.004176826,0.002389726,0.003632553,0.001756185,0.2138557],"category_scores_gemma":[0.003221169,0.001201911,0.0005589784,0.01482216,0.0006992422,0.0007848507,0.001934302,0.001375443,0.1759237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004823645,"about_ca_system_score_gemma":0.01122619,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5398126,"about_ca_topic_score_gemma":0.7878826,"domain_scores_codex":[0.9987124,0.00005929251,0.00007676696,0.0003797956,0.0004339549,0.0003376922],"domain_scores_gemma":[0.9975581,0.0001866084,0.000167805,0.0005609163,0.001074743,0.0004517529],"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":[0.0001822985,0.00003954358,0.003283095,0.0004848959,0.00003096798,0.0001257658,0.0004393094,0.0001639611,0.003477792,0.001490861,0.9638595,0.02642212],"study_design_scores_gemma":[0.00004892618,0.00001263715,0.01833993,0.0002172425,0.00004308203,0.0001133145,0.0001852082,0.00009111685,0.001482344,0.0007971807,0.9786345,0.00003454075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002216767,0.0001085052,0.001675781,0.00007966049,0.00006864001,0.0001323282,0.9600803,0.001568966,0.03406895],"genre_scores_gemma":[0.002802213,0.0001261653,0.003403485,0.0001295215,0.00001599727,0.0003040293,0.9620066,0.001943732,0.02926826],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4601874,"threshold_uncertainty_score":0.925795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05863320609039255,"score_gpt":0.3153544904654926,"score_spread":0.2567212843751,"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."}}