{"id":"W6975403728","doi":"10.60510/awfwi03365","title":"IGSN AWFWI03365 (EN22033-TG11): Individual Sample (Biology, leaf for DNA analyses) of sample EN22033-T11 from Richardson 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; Analytical Chemistry (journal); Sampling (signal processing)","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":[],"consensus_categories":[],"category_scores_codex":[0.0009698499,0.001546288,0.001304364,0.005894354,0.002704072,0.001518376,0.002719036,0.001502239,0.1181544],"category_scores_gemma":[0.002087255,0.0009208688,0.0006119404,0.01321408,0.000590781,0.0007918121,0.001774062,0.0009505484,0.1180035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002626705,"about_ca_system_score_gemma":0.005946966,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1705028,"about_ca_topic_score_gemma":0.367055,"domain_scores_codex":[0.9989588,0.00004592377,0.00009075614,0.0004029076,0.0002361192,0.000265399],"domain_scores_gemma":[0.9983352,0.0001152626,0.0001515181,0.0005156645,0.0006392986,0.0002430958],"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":[0.0006498225,0.0001171337,0.01787284,0.001611916,0.0001430703,0.0003825104,0.001652507,0.0004579484,0.02348572,0.003848149,0.8870945,0.06268383],"study_design_scores_gemma":[0.00006623526,0.0000312736,0.04922618,0.0001967675,0.0001007184,0.0002190423,0.000399931,0.0001296161,0.00271063,0.0008690041,0.9460064,0.00004410428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005582627,0.00009219693,0.002454147,0.00005092686,0.00005253613,0.0001447182,0.9686264,0.001565215,0.02143123],"genre_scores_gemma":[0.004623737,0.00007707654,0.003143325,0.00007765986,0.000007909462,0.0002437133,0.980246,0.001315088,0.01026553],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8294972,"threshold_uncertainty_score":0.3952658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08182702121875951,"score_gpt":0.3523204203426983,"score_spread":0.2704933991239388,"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."}}