{"id":"W6938132947","doi":"10.60510/awfwi03598","title":"IGSN AWFWI03598 (EN22058-TG07): Individual Sample (Biology, leaf for DNA analyses) of sample EN22058-T07 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":[0.001720177,0.003262607,0.004827164,0.00342713,0.0003734101,0.0003778842,0.003765726,0.003411199,0.01063802],"category_scores_gemma":[0.005550217,0.003234276,0.002324543,0.002327553,0.002118815,0.0004275841,0.001724574,0.00185708,0.001580237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008289925,"about_ca_system_score_gemma":0.001187426,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9174365,"about_ca_topic_score_gemma":0.6349149,"domain_scores_codex":[0.9866571,0.0008081089,0.003091438,0.004564242,0.001698819,0.003180294],"domain_scores_gemma":[0.9839904,0.006928908,0.002651181,0.004693327,0.0006732074,0.001062936],"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":[0.0005017458,0.0006472442,0.003126836,0.001180893,0.005701158,0.00004516072,0.001847955,0.00005388338,0.0001085444,0.001292857,0.9838299,0.001663888],"study_design_scores_gemma":[0.004287776,0.0006261846,0.000859555,0.001057247,0.0045327,0.00003087459,0.0006099514,0.0002201293,0.001934401,0.02323495,0.959139,0.003467188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002348208,0.008607787,0.01986087,0.0001619982,0.002771447,0.003567406,0.9603555,0.001606387,0.0007204101],"genre_scores_gemma":[0.01933378,0.0003403166,0.03296411,0.0004106747,0.003306462,0.001074329,0.9366058,0.00462666,0.001337854],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2825216,"threshold_uncertainty_score":0.9991971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08004475886656509,"score_gpt":0.3414166189996708,"score_spread":0.2613718601331057,"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."}}