{"id":"W6938207206","doi":"10.60510/awfwi03794","title":"IGSN AWFWI03794 (EN22074-TG02): Individual Sample (Biology, leaf for DNA analyses) of sample EN22074-T02 from Northern Rocky Mountains, British Columbia, 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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001466766,0.002356809,0.004743325,0.001563204,0.0005550677,0.001401805,0.00388552,0.003202275,0.01278585],"category_scores_gemma":[0.005696204,0.003469279,0.002222381,0.002161566,0.001734582,0.0004221698,0.001694347,0.00180465,0.0008346472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00133585,"about_ca_system_score_gemma":0.001769796,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975252,"about_ca_topic_score_gemma":0.9987436,"domain_scores_codex":[0.9864482,0.0007445776,0.003225816,0.004624754,0.001743492,0.003213104],"domain_scores_gemma":[0.9862274,0.005140598,0.002677137,0.004070727,0.0008292219,0.001054944],"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":[0.0001502774,0.0006876864,0.01630242,0.001076141,0.005465029,0.00007600857,0.0007634661,0.00004155227,0.00006488438,0.0001088119,0.9710752,0.004188543],"study_design_scores_gemma":[0.003608103,0.0005481254,0.001923811,0.001311438,0.003632744,0.0000830743,0.001026253,0.0000849132,0.0002694199,0.01278633,0.9711635,0.003562269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007979061,0.01193806,0.009938363,0.00006876098,0.001990338,0.004105367,0.9618084,0.001740884,0.0004307308],"genre_scores_gemma":[0.02067956,0.000340111,0.01723014,0.0003946952,0.002788128,0.001650165,0.9487761,0.005395414,0.002745713],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01437861,"threshold_uncertainty_score":0.9999433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04904064948995417,"score_gpt":0.3093498943379154,"score_spread":0.2603092448479613,"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."}}