{"id":"W6956750936","doi":"10.60510/awfwi03556","title":"IGSN AWFWI03556 (EN22052-TG11): Individual Sample (Biology, leaf for DNA analyses) of sample EN22052-T11 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":[0.001217762,0.001648047,0.001498657,0.005594634,0.002740036,0.001764228,0.002865304,0.00164965,0.1497186],"category_scores_gemma":[0.002280313,0.001009384,0.000690404,0.0103225,0.0006379334,0.0008452579,0.002101847,0.00100747,0.1545092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003093714,"about_ca_system_score_gemma":0.006575338,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1490845,"about_ca_topic_score_gemma":0.3529256,"domain_scores_codex":[0.9987193,0.00005471058,0.0001011498,0.0005066104,0.0003166413,0.0003014718],"domain_scores_gemma":[0.99815,0.0001231046,0.0001411722,0.0005916473,0.0007107129,0.000283394],"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":[0.000618536,0.0001030089,0.01271657,0.001571129,0.000122845,0.0003827307,0.001274382,0.0004460864,0.02878945,0.003737584,0.8850486,0.06518915],"study_design_scores_gemma":[0.00005642549,0.00002691377,0.02810535,0.0001694712,0.0000827321,0.0002207214,0.0002897031,0.0001120191,0.003516735,0.0008350146,0.9665458,0.00003930425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004928489,0.0001217264,0.003699861,0.00006650891,0.00006538082,0.0001693097,0.9627973,0.002290559,0.02586086],"genre_scores_gemma":[0.004138545,0.00008864149,0.004314168,0.0001011963,0.000008391266,0.000274717,0.9733229,0.002310924,0.01544035],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8509156,"threshold_uncertainty_score":0.5008586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08940237943355563,"score_gpt":0.3492941163539413,"score_spread":0.2598917369203857,"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."}}