{"id":"W6919186430","doi":"10.60510/awfwi03570","title":"IGSN AWFWI03570 (EN22055-TG06): Individual Sample (Biology, leaf for DNA analyses) of sample EN22055-T06 from Tintina Trench, 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); Sample preparation","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":[0.001310532,0.00172991,0.001505833,0.005913261,0.00264213,0.001889363,0.002967086,0.001690727,0.1456568],"category_scores_gemma":[0.002520933,0.00101747,0.0007188736,0.01113462,0.0006647098,0.0008702431,0.002165874,0.001002446,0.1523407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003303603,"about_ca_system_score_gemma":0.007410081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.178696,"about_ca_topic_score_gemma":0.382626,"domain_scores_codex":[0.9986273,0.00006200457,0.000108873,0.0005310889,0.0003428556,0.0003278628],"domain_scores_gemma":[0.9979533,0.0001301529,0.0001569525,0.0006444409,0.0008315114,0.0002836023],"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":[0.0005656943,0.00009157966,0.01227386,0.001562226,0.0001217747,0.0003155287,0.001325542,0.0004430028,0.02099719,0.003541857,0.900382,0.05837975],"study_design_scores_gemma":[0.00005241686,0.00002563215,0.02829751,0.0001826124,0.000082702,0.0001843926,0.0003101105,0.0001095928,0.002964586,0.0008909187,0.9668606,0.00003899434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004208685,0.0001158744,0.003147661,0.0000616151,0.00006307969,0.0001486592,0.9666186,0.002060171,0.02357576],"genre_scores_gemma":[0.003799984,0.00008609522,0.003996155,0.00009745173,0.000008481465,0.0002591034,0.9754166,0.002250352,0.01408574],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8543432,"threshold_uncertainty_score":0.4872704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08707665728450772,"score_gpt":0.3492111595579093,"score_spread":0.2621345022734016,"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."}}