{"id":"W6938070139","doi":"10.60510/awfwi03602","title":"IGSN AWFWI03602 (EN22058-TG11): Individual Sample (Biology, leaf for DNA analyses) of sample EN22058-T11 from Yukon 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001632966,0.003257618,0.004828549,0.003376013,0.0003705001,0.000370852,0.003799546,0.003387993,0.01096229],"category_scores_gemma":[0.005662177,0.003230452,0.002323864,0.002300984,0.002092169,0.0004287768,0.001699921,0.001844635,0.001599179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008031751,"about_ca_system_score_gemma":0.0008997593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9206312,"about_ca_topic_score_gemma":0.6321135,"domain_scores_codex":[0.9866484,0.0008034646,0.003078518,0.004632936,0.001683592,0.003153135],"domain_scores_gemma":[0.984111,0.006751197,0.002635777,0.004781026,0.0006676926,0.001053348],"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":[0.000498181,0.0007354774,0.002549978,0.001167074,0.005360064,0.00004461761,0.00186714,0.00005212751,0.0001073502,0.001296249,0.9846004,0.001721345],"study_design_scores_gemma":[0.004386036,0.0007289958,0.000798163,0.001071927,0.004519436,0.00003384898,0.0005760967,0.0002281338,0.001971149,0.0200509,0.962095,0.003540314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002945608,0.008992171,0.01748471,0.0001203336,0.00272494,0.003466996,0.9619409,0.0016384,0.000685895],"genre_scores_gemma":[0.02178353,0.0003455695,0.03258323,0.0003746766,0.003208888,0.001077365,0.9346204,0.004674584,0.001331733],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2885178,"threshold_uncertainty_score":0.9991782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08135811430964773,"score_gpt":0.3397675170354511,"score_spread":0.2584094027258034,"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."}}