{"id":"W6956875195","doi":"10.60510/awfwi02980","title":"IGSN AWFWI02980 (EN22002-TG07): Individual Sample (Biology, leaf for DNA analyses) of sample EN22002-T07 from Takhini River, 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":[0.001222187,0.00202295,0.001523608,0.007040315,0.00263873,0.001620851,0.003149085,0.001580631,0.1430273],"category_scores_gemma":[0.002230097,0.001105851,0.0007961835,0.01276953,0.0006131402,0.0009495482,0.002109359,0.001099376,0.1606216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00198427,"about_ca_system_score_gemma":0.005377126,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08491828,"about_ca_topic_score_gemma":0.1937465,"domain_scores_codex":[0.9987778,0.00006275444,0.0001122386,0.0004943674,0.0002801625,0.0002725962],"domain_scores_gemma":[0.9983813,0.0001155939,0.0001403191,0.0005545199,0.000577788,0.0002304955],"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":[0.0005335456,0.0001168465,0.01114672,0.001617726,0.0001182124,0.0003249955,0.001390304,0.0003669354,0.02249166,0.003721023,0.8970271,0.06114498],"study_design_scores_gemma":[0.00005827145,0.0000283763,0.02888077,0.000149574,0.00009948957,0.0001797091,0.0002794731,0.0001291965,0.003525946,0.001003666,0.9656234,0.00004216516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003415866,0.00008052165,0.003234507,0.00004670193,0.0000566614,0.0001358191,0.9726467,0.00204625,0.01833698],"genre_scores_gemma":[0.002601644,0.00005947069,0.003985134,0.00006638992,0.000009316471,0.0002801747,0.981965,0.001707254,0.009325593],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9150817,"threshold_uncertainty_score":0.4784741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09134841099436658,"score_gpt":0.3473933583549926,"score_spread":0.2560449473606261,"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."}}