{"id":"W6919194080","doi":"10.60510/awfwi03010","title":"IGSN AWFWI03010 (EN22004-TG07): Individual Sample (Biology, leaf for DNA analyses) of sample EN22004-T07 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":[0.002178744,0.00346583,0.00529075,0.003665618,0.0003389186,0.0004127205,0.003834132,0.003765748,0.01903562],"category_scores_gemma":[0.007047891,0.003505972,0.002316287,0.002733412,0.001588,0.0003499724,0.001464041,0.002129477,0.001055729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007834954,"about_ca_system_score_gemma":0.00119189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9313836,"about_ca_topic_score_gemma":0.9500539,"domain_scores_codex":[0.9857587,0.000971241,0.003388678,0.004637882,0.001829792,0.003413692],"domain_scores_gemma":[0.9824525,0.008044713,0.002820918,0.004945542,0.0006263915,0.001109944],"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":[0.0006032232,0.000736364,0.002486293,0.001510089,0.005062818,0.00005473911,0.001024592,0.00004811398,0.0001271472,0.001088145,0.9821128,0.00514573],"study_design_scores_gemma":[0.004528002,0.0006566703,0.001190061,0.001079674,0.004428209,0.00003618818,0.0004519769,0.0000856527,0.001235693,0.01896029,0.963827,0.003520632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001530887,0.01085193,0.01346262,0.0002016788,0.003252813,0.004187807,0.9637606,0.002024161,0.0007275785],"genre_scores_gemma":[0.008525232,0.0002854924,0.0297802,0.0004685839,0.004359652,0.001572194,0.9480889,0.00547807,0.001441706],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01867034,"threshold_uncertainty_score":0.9997221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09426691606538702,"score_gpt":0.339044671492214,"score_spread":0.244777755426827,"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."}}