{"id":"W6900728538","doi":"10.60510/awfwi03600","title":"IGSN AWFWI03600 (EN22058-TG09): Individual Sample (Biology, leaf for DNA analyses) of sample EN22058-T09 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":[0.001685858,0.003255412,0.004824992,0.003399404,0.0003748689,0.0003910484,0.003787478,0.003386463,0.0101097],"category_scores_gemma":[0.005535549,0.003226887,0.002305566,0.002323367,0.002095915,0.0004386398,0.001682483,0.001843952,0.001516248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008108599,"about_ca_system_score_gemma":0.001197329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9341226,"about_ca_topic_score_gemma":0.6304709,"domain_scores_codex":[0.9867051,0.0008110824,0.003091451,0.004558478,0.001683186,0.00315072],"domain_scores_gemma":[0.9841968,0.006773049,0.002611337,0.004705538,0.0006589351,0.001054346],"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":[0.0004967638,0.0006452448,0.00318336,0.001135818,0.005712635,0.00004373346,0.002274253,0.0000584817,0.00009740634,0.001216669,0.9837449,0.001390726],"study_design_scores_gemma":[0.004325462,0.0006507114,0.001109159,0.00106428,0.004506461,0.0000311649,0.0007664282,0.0002233706,0.001613388,0.01966668,0.9625418,0.003501146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004120677,0.009325322,0.01703265,0.0001452197,0.00273132,0.003451212,0.9609927,0.001591614,0.0006092901],"genre_scores_gemma":[0.02569817,0.0003434986,0.02883552,0.0004094252,0.003281338,0.001052864,0.9346063,0.004572963,0.001199985],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3036518,"threshold_uncertainty_score":0.9992612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0783511784074892,"score_gpt":0.3402466179774841,"score_spread":0.2618954395699949,"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."}}