{"id":"W6956740737","doi":"10.60510/awfwi03447","title":"IGSN AWFWI03447 (EN22040-TG03): Individual Sample (Biology, leaf for DNA analyses) of sample EN22040-T03 from Ogilvie Mountains (Nahoni Range), 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","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.00218386,0.003643382,0.005620901,0.003659506,0.000482599,0.0005127233,0.004458276,0.003588362,0.01041997],"category_scores_gemma":[0.008347253,0.003658024,0.002684182,0.002756264,0.001901951,0.0004620091,0.001856814,0.002061075,0.00103304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360283,"about_ca_system_score_gemma":0.001391754,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9502916,"about_ca_topic_score_gemma":0.8308318,"domain_scores_codex":[0.9849991,0.001033162,0.003554102,0.004917996,0.001887493,0.003608103],"domain_scores_gemma":[0.9807075,0.00909821,0.002948967,0.005409182,0.0006981609,0.001137927],"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":[0.0004865058,0.0007143783,0.003356338,0.001478644,0.006433481,0.00004571853,0.001438007,0.0000704833,0.0001107808,0.001877602,0.9822019,0.001786199],"study_design_scores_gemma":[0.004355963,0.0005897468,0.0008414803,0.001071248,0.004672467,0.00003356141,0.0009151003,0.0001028071,0.001455221,0.01924136,0.9630215,0.003699517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001626135,0.015027,0.01523762,0.0002130632,0.002904008,0.004452409,0.9579248,0.001995207,0.0006197498],"genre_scores_gemma":[0.01426281,0.0004898879,0.02932934,0.0005903378,0.00370626,0.002009152,0.9426842,0.005688475,0.001239537],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1194598,"threshold_uncertainty_score":0.9997448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0865348839119654,"score_gpt":0.3518416047654097,"score_spread":0.2653067208534443,"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."}}