{"id":"W6938158055","doi":"10.60510/awfwi03445","title":"IGSN AWFWI03445 (EN22040-TG01): Individual Sample (Biology, leaf for DNA analyses) of sample EN22040-T01 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001077647,0.001599839,0.001199701,0.006111953,0.002163981,0.001434578,0.002791177,0.001390856,0.1494506],"category_scores_gemma":[0.002385677,0.0009016813,0.0006134143,0.01312569,0.0006042776,0.0008554098,0.001889556,0.0008156484,0.1488788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002462065,"about_ca_system_score_gemma":0.005628773,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1390375,"about_ca_topic_score_gemma":0.2803331,"domain_scores_codex":[0.9988703,0.00005752633,0.00009763837,0.0003998915,0.000278074,0.0002965807],"domain_scores_gemma":[0.9981199,0.0001297438,0.0001702137,0.0005852958,0.0007392809,0.0002554984],"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":[0.0004162838,0.00010019,0.01223665,0.001413717,0.00007982708,0.0002550158,0.00123469,0.0003859508,0.01110399,0.002856257,0.9181945,0.05172295],"study_design_scores_gemma":[0.00004938578,0.00002282673,0.03496028,0.0001708953,0.00005695002,0.0001452497,0.0003192312,0.00009678696,0.001832513,0.0007693215,0.9615456,0.00003097727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003594097,0.00007105953,0.001723888,0.0000393879,0.00004604464,0.0001145835,0.97284,0.001307127,0.02026386],"genre_scores_gemma":[0.003010076,0.00006005546,0.002796076,0.00005736437,0.000007233188,0.0002265674,0.9834281,0.001169661,0.00924495],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8609625,"threshold_uncertainty_score":0.4999622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08665617791294516,"score_gpt":0.3520467547106704,"score_spread":0.2653905767977253,"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."}}