{"id":"W6937844397","doi":"10.60510/awfwi03559","title":"IGSN AWFWI03559 (EN22053-TG01): Individual Sample (Biology, leaf for DNA analyses) of sample EN22053-T01 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":[],"consensus_categories":[],"category_scores_codex":[0.001348946,0.001650943,0.001502351,0.005833229,0.002789125,0.001852646,0.003014355,0.001731835,0.1497912],"category_scores_gemma":[0.00261122,0.001047226,0.0007105058,0.01058402,0.0006593786,0.0008592149,0.002187396,0.00103691,0.1577363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003248433,"about_ca_system_score_gemma":0.006912363,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1539097,"about_ca_topic_score_gemma":0.3524113,"domain_scores_codex":[0.9985738,0.00006529186,0.00011315,0.0005508779,0.0003626183,0.0003341963],"domain_scores_gemma":[0.9978309,0.0001469924,0.0001565107,0.0007211863,0.0008325298,0.0003117789],"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":[0.0006115944,0.0001051426,0.01245767,0.001472321,0.0001228059,0.0003571686,0.00120073,0.0004388789,0.02546268,0.003736767,0.8943909,0.05964327],"study_design_scores_gemma":[0.00006088452,0.00002860603,0.02818163,0.0001718358,0.000085359,0.0002106097,0.0002937428,0.0001104616,0.003486109,0.0009102689,0.9664209,0.0000395515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004678933,0.0001111927,0.003414501,0.0000705925,0.0000662858,0.0001722098,0.9640124,0.002100266,0.02537358],"genre_scores_gemma":[0.003957407,0.00008206964,0.004124561,0.0001068716,0.000008671544,0.0002863455,0.9743513,0.002198281,0.01488449],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8460903,"threshold_uncertainty_score":0.5011015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08908115106630088,"score_gpt":0.3502291825194385,"score_spread":0.2611480314531376,"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."}}