{"id":"W6975877403","doi":"10.60510/awfwi03000","title":"IGSN AWFWI03000 (EN22003-TG18): Individual Sample (Biology, leaf for DNA analyses) of sample EN22003-T18 from Squanga Lake (Big Salmon Range), 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; Fish <Actinopterygii>; Aquatic animal","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":[0.002185148,0.003467729,0.005332191,0.003592282,0.0003959576,0.0004243198,0.00374522,0.003609775,0.01267713],"category_scores_gemma":[0.007581045,0.003510273,0.002137321,0.003014384,0.001535013,0.0003499836,0.001363718,0.001967477,0.001152429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007822607,"about_ca_system_score_gemma":0.001218924,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9233787,"about_ca_topic_score_gemma":0.934971,"domain_scores_codex":[0.9855852,0.001090526,0.003412537,0.004656177,0.001811719,0.003443895],"domain_scores_gemma":[0.9828399,0.007665854,0.002802654,0.004935179,0.0006467795,0.001109661],"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":[0.0005887142,0.000702345,0.002466487,0.001346453,0.005026615,0.00004960672,0.00109012,0.00004556477,0.0001080266,0.0008099099,0.9838519,0.003914269],"study_design_scores_gemma":[0.00430625,0.0006530276,0.001066696,0.001021162,0.004235073,0.00003401691,0.0005139257,0.00007343786,0.001202291,0.01026438,0.9731632,0.003466568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001555059,0.0127107,0.01072792,0.0001581007,0.003480234,0.004173232,0.9644843,0.00190202,0.0008084288],"genre_scores_gemma":[0.009769106,0.000351393,0.02481206,0.0004922638,0.004087928,0.001650436,0.9519737,0.005499136,0.001363926],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01408414,"threshold_uncertainty_score":0.9996253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09545915219740336,"score_gpt":0.3381945466980362,"score_spread":0.2427353945006329,"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."}}