{"id":"W6938049507","doi":"10.60510/awfwi03582","title":"IGSN AWFWI03582 (EN22055-TG20): Individual Sample (Biology, leaf for DNA analyses) of sample EN22055-T20 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":[0.001318833,0.001759142,0.001494855,0.005908094,0.002650274,0.001784951,0.002952423,0.001711022,0.1505466],"category_scores_gemma":[0.002410593,0.001028834,0.000721592,0.01051995,0.0006575581,0.0008842364,0.00219203,0.0009840797,0.1560433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003143021,"about_ca_system_score_gemma":0.006658607,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1429271,"about_ca_topic_score_gemma":0.3313527,"domain_scores_codex":[0.9986762,0.00005919522,0.0001036336,0.0005236624,0.0003262585,0.0003111272],"domain_scores_gemma":[0.9981316,0.0001245297,0.0001445942,0.0006077415,0.0007153526,0.0002762255],"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":[0.0006047172,0.0000957058,0.01162368,0.001635393,0.00012047,0.000361881,0.001327133,0.0004480042,0.02725787,0.003908921,0.8896126,0.06300367],"study_design_scores_gemma":[0.00005365287,0.00002540076,0.02433684,0.0001713424,0.00008125374,0.0002002592,0.0002684307,0.0001093845,0.003301365,0.0008635281,0.9705512,0.00003727802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004710497,0.0001311465,0.003954863,0.00006705394,0.00006851119,0.0001766778,0.961664,0.00248872,0.02673848],"genre_scores_gemma":[0.004038296,0.00009382449,0.004589058,0.0001060614,0.000009069508,0.0003025481,0.9730874,0.002632913,0.01514085],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8570728,"threshold_uncertainty_score":0.5036286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08824048933410884,"score_gpt":0.3496236638819477,"score_spread":0.2613831745478389,"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."}}