{"id":"W6919392795","doi":"10.60510/awfwi03651","title":"IGSN AWFWI03651 (EN22062-TG22): Individual Sample (Biology, leaf for DNA analyses) of sample EN22062-T22 from Cassiar 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; 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":[0.0009885108,0.001512333,0.00124801,0.005561179,0.00244069,0.001463608,0.002538004,0.001394914,0.1127539],"category_scores_gemma":[0.002147516,0.0008751733,0.000598533,0.01263039,0.0005782132,0.0007185503,0.001778285,0.0008077249,0.1151633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002623161,"about_ca_system_score_gemma":0.006222628,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1657158,"about_ca_topic_score_gemma":0.3446001,"domain_scores_codex":[0.9989785,0.00004344472,0.00008760353,0.0003762714,0.0002453045,0.0002687946],"domain_scores_gemma":[0.998309,0.0001186871,0.0001515501,0.0005374695,0.0006462052,0.0002370828],"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":[0.0006046377,0.0001064981,0.01755625,0.001531226,0.000124553,0.0003393012,0.001390947,0.0004539479,0.01776074,0.003232367,0.9000888,0.05681077],"study_design_scores_gemma":[0.00007131206,0.00002809744,0.04923737,0.0001712176,0.00009239729,0.0001910121,0.0003217585,0.0001329866,0.002839217,0.000789647,0.9460857,0.00003931164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004721079,0.00007778274,0.001876184,0.00004535625,0.00004331384,0.0001208608,0.9728633,0.001501873,0.01875018],"genre_scores_gemma":[0.003919085,0.00006479809,0.002527698,0.00005994033,0.000007197515,0.000208192,0.9837956,0.001089018,0.008328461],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8342842,"threshold_uncertainty_score":0.3771993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08788522866250462,"score_gpt":0.3566741797462264,"score_spread":0.2687889510837218,"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."}}