{"id":"W6900770455","doi":"10.60510/awfwi03501","title":"IGSN AWFWI03501 (EN22047-TG02): Individual Sample (Biology, leaf for DNA analyses) of sample EN22047-T02 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":[0.001274686,0.001902878,0.001536851,0.007242186,0.002390598,0.001998282,0.00326888,0.00163929,0.1670919],"category_scores_gemma":[0.002916171,0.001072636,0.0007574914,0.01463833,0.0006674716,0.001079044,0.00230619,0.0009800274,0.1790809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002735024,"about_ca_system_score_gemma":0.006804134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1505294,"about_ca_topic_score_gemma":0.2891985,"domain_scores_codex":[0.9985941,0.00006982208,0.0001236547,0.0004908827,0.0003488122,0.0003727367],"domain_scores_gemma":[0.9976614,0.0001686693,0.0002134863,0.0007498675,0.000909189,0.0002974044],"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":[0.0004351189,0.00008368248,0.009399052,0.001623263,0.00009418523,0.0002031146,0.001100475,0.0003938903,0.008746421,0.002600746,0.9307269,0.04459307],"study_design_scores_gemma":[0.00005098389,0.00002154758,0.02652156,0.0001883193,0.000066927,0.0001257205,0.0003020697,0.0001004111,0.001868313,0.0007890137,0.9699304,0.00003473428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002446558,0.00007857216,0.001562213,0.00003897729,0.00004490928,0.00008771764,0.9782692,0.001483879,0.01598802],"genre_scores_gemma":[0.002325343,0.00006208025,0.002408106,0.00005062785,0.000007045151,0.0001861636,0.9852739,0.001539484,0.008147181],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8494706,"threshold_uncertainty_score":0.558978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09059409737774746,"score_gpt":0.3551683682395231,"score_spread":0.2645742708617757,"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."}}