{"id":"W6937924075","doi":"10.60510/awfwi03458","title":"IGSN AWFWI03458 (EN22041-TG05): Individual Sample (Biology, leaf for DNA analyses) of sample EN22041-T05 from Ogilvie Mountains (Nahoni 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","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":[0.002187459,0.00364201,0.005649559,0.003708674,0.0004730214,0.0005041611,0.004420316,0.003570281,0.0105279],"category_scores_gemma":[0.007810549,0.003657143,0.002719169,0.002741064,0.001858615,0.0004754695,0.001851548,0.002074588,0.001235527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001377098,"about_ca_system_score_gemma":0.001400211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.950729,"about_ca_topic_score_gemma":0.8502274,"domain_scores_codex":[0.9850232,0.0009989953,0.003556357,0.004899711,0.00187901,0.003642698],"domain_scores_gemma":[0.9810752,0.008812264,0.002949761,0.005326206,0.0006841013,0.001152521],"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":[0.0005394681,0.0007264437,0.003637372,0.001520139,0.006666105,0.00004707151,0.001441063,0.00007042915,0.0001190788,0.002018537,0.9812942,0.001920138],"study_design_scores_gemma":[0.004433317,0.0006169108,0.0009109799,0.001057783,0.004894228,0.00003391445,0.0009225625,0.0001104862,0.001375699,0.01832179,0.9636167,0.003705603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001788171,0.01441235,0.01539635,0.0002100558,0.002760863,0.004495861,0.958297,0.001982108,0.0006572779],"genre_scores_gemma":[0.01923508,0.0004934983,0.03015617,0.0005958795,0.003517582,0.001876948,0.9374643,0.005572115,0.001088434],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1005016,"threshold_uncertainty_score":0.9995421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08627586120918344,"score_gpt":0.3520451451705516,"score_spread":0.2657692839613682,"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."}}