{"id":"W6938253057","doi":"10.60510/awfwi03574","title":"IGSN AWFWI03574 (EN22055-TG10): Individual Sample (Biology, leaf for DNA analyses) of sample EN22055-T10 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001834663,0.00322425,0.0048669,0.003524872,0.0003606119,0.000405979,0.003877852,0.003117666,0.01369138],"category_scores_gemma":[0.008587198,0.003221382,0.002462078,0.002665036,0.001748352,0.0003768209,0.001678543,0.001856227,0.001324732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007060825,"about_ca_system_score_gemma":0.001163105,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9277169,"about_ca_topic_score_gemma":0.7667713,"domain_scores_codex":[0.9866751,0.0008438296,0.003326477,0.004578801,0.001414875,0.003160957],"domain_scores_gemma":[0.982462,0.008306577,0.002865063,0.004732887,0.0006392964,0.0009941295],"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":[0.0002833403,0.0006414602,0.001003218,0.00105155,0.004789967,0.00003485524,0.001359923,0.00002491115,0.0002232806,0.001639772,0.9854247,0.003522999],"study_design_scores_gemma":[0.0031955,0.0006000372,0.000519485,0.001005224,0.00422872,0.00003289191,0.0007201716,0.00009879471,0.002976012,0.01899698,0.9644489,0.003177244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001500205,0.008219649,0.01287809,0.0001881437,0.002601169,0.00320652,0.968269,0.001795861,0.00134139],"genre_scores_gemma":[0.01005442,0.0002389586,0.04261902,0.0003429383,0.003177079,0.001330366,0.9360452,0.004489182,0.00170281],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1609456,"threshold_uncertainty_score":0.9997639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08798111161709908,"score_gpt":0.3496538228963522,"score_spread":0.2616727112792531,"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."}}