{"id":"W6900526893","doi":"10.60510/awfwi03712","title":"IGSN AWFWI03712 (EN22065-TG29): Individual Sample (Biology, leaf for DNA analyses) of sample EN22065-T29 from Northern Rocky Mountains, 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001176299,0.001928402,0.001481229,0.007706495,0.004134121,0.002107693,0.003363103,0.00155654,0.1841614],"category_scores_gemma":[0.002347299,0.001145884,0.0005440709,0.01452715,0.0006586359,0.0006519812,0.001644139,0.001281342,0.1392158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004098903,"about_ca_system_score_gemma":0.009189477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5148006,"about_ca_topic_score_gemma":0.7722972,"domain_scores_codex":[0.9989393,0.00004536821,0.00006197291,0.0003351688,0.0003341041,0.0002840704],"domain_scores_gemma":[0.9982584,0.000148272,0.0001368686,0.0004168805,0.0006880589,0.0003515588],"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":[0.0002366384,0.00004980594,0.004038595,0.000589027,0.0000406312,0.0001749388,0.0005606426,0.0001928125,0.005167811,0.00148002,0.9587136,0.02875536],"study_design_scores_gemma":[0.00007228115,0.0000151968,0.02729621,0.0002450946,0.00006079918,0.0001516533,0.0002199961,0.0001169291,0.001971524,0.0007605152,0.9690496,0.00004027889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003028664,0.0001165158,0.00162859,0.00006957298,0.00006160299,0.0001296623,0.9629344,0.001755359,0.03027569],"genre_scores_gemma":[0.003553186,0.000127562,0.003234842,0.0001141774,0.0000156097,0.0003146075,0.9673103,0.00190411,0.02342562],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8158386,"threshold_uncertainty_score":0.9761137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04859886434288428,"score_gpt":0.3094331421313959,"score_spread":0.2608342777885116,"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."}}