{"id":"W6919546636","doi":"10.60510/awfwi03414","title":"IGSN AWFWI03414 (EN22037-TG13): Individual Sample (Biology, leaf for DNA analyses) of sample EN22037-T13 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001001827,0.001620064,0.00136787,0.006225713,0.002734403,0.001555467,0.002876693,0.001527126,0.1178323],"category_scores_gemma":[0.002155719,0.0009463126,0.0006356664,0.01420484,0.0006256892,0.0008198164,0.001823563,0.0009447563,0.1200648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002710124,"about_ca_system_score_gemma":0.006112657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1611747,"about_ca_topic_score_gemma":0.3481805,"domain_scores_codex":[0.9989371,0.00004708969,0.00009347648,0.0004123571,0.0002384243,0.0002716526],"domain_scores_gemma":[0.998333,0.0001183144,0.0001492758,0.000525256,0.0006348577,0.0002393684],"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":[0.0006772011,0.0001172299,0.01798715,0.001699314,0.0001489771,0.0003956971,0.001709201,0.0004675069,0.02497937,0.004009983,0.8808399,0.06696862],"study_design_scores_gemma":[0.00006580222,0.00003058966,0.04497321,0.0001979518,0.0001037348,0.0002192268,0.0003871832,0.0001303972,0.00290481,0.000921483,0.9500205,0.0000450528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005556628,0.00009658507,0.002546296,0.00005046582,0.00005036773,0.0001451964,0.9678242,0.00177321,0.02195711],"genre_scores_gemma":[0.004588168,0.0000818106,0.00333458,0.00007545354,0.000007810879,0.0002518784,0.9803203,0.001482397,0.009857576],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8821677,"threshold_uncertainty_score":0.3941883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08014181356153954,"score_gpt":0.3520089543944079,"score_spread":0.2718671408328683,"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."}}