{"id":"W6900812246","doi":"10.60510/awfwi03487","title":"IGSN AWFWI03487 (EN22046-TG04): Individual Sample (Biology, leaf for DNA analyses) of sample EN22046-T04 from Ogilvie Mountains, 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; Sample preparation; Analytical Chemistry (journal)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001173315,0.001830886,0.001447487,0.006970251,0.002275518,0.001913411,0.003076431,0.001640823,0.1557974],"category_scores_gemma":[0.002766962,0.0010133,0.000728464,0.01436025,0.0006482775,0.001021167,0.002216111,0.0009152532,0.1657876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002625024,"about_ca_system_score_gemma":0.006510608,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1538779,"about_ca_topic_score_gemma":0.28753,"domain_scores_codex":[0.9987044,0.00006339487,0.0001152521,0.000438785,0.0003243934,0.000353664],"domain_scores_gemma":[0.9978509,0.0001505098,0.0002073186,0.0006619017,0.0008559825,0.0002734438],"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":[0.0004336892,0.00008047129,0.01041266,0.001620566,0.0000976755,0.0002158656,0.001099888,0.0004031571,0.008623904,0.00249882,0.9308006,0.04371274],"study_design_scores_gemma":[0.00004778785,0.0000212923,0.02855746,0.0001883209,0.00006618672,0.0001269699,0.0003013575,0.00009612126,0.001746786,0.0007338618,0.9680794,0.00003441918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002596712,0.0000825953,0.001442146,0.00003866397,0.0000464413,0.00008348551,0.978285,0.001409383,0.01601557],"genre_scores_gemma":[0.002550073,0.00006689093,0.002284081,0.00005111611,0.000007328565,0.0001693727,0.9854806,0.001420239,0.007970206],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8461221,"threshold_uncertainty_score":0.5211941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08819452372756344,"score_gpt":0.3548605513667369,"score_spread":0.2666660276391735,"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."}}