{"id":"W6975910057","doi":"10.60510/awfwi03730","title":"IGSN AWFWI03730 (EN22069-TG09): Individual Sample (Biology, leaf for DNA analyses) of sample EN22069-T09 from Fort Nelson - T8 Area East, 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; Sample size determination; Sampling (signal processing)","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"],"category_scores_codex":[0.001662064,0.002461871,0.005131012,0.001729385,0.0005229196,0.001481868,0.003782191,0.003353672,0.01662926],"category_scores_gemma":[0.006006295,0.003607077,0.002509473,0.002312916,0.001827928,0.0005280208,0.001703809,0.00181661,0.0005087837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000940319,"about_ca_system_score_gemma":0.001549983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955899,"about_ca_topic_score_gemma":0.9928539,"domain_scores_codex":[0.98592,0.0006465146,0.003352516,0.004868289,0.001761405,0.003451292],"domain_scores_gemma":[0.9865425,0.00462671,0.002710078,0.004206232,0.000716238,0.001198264],"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":[0.0001802035,0.0006959374,0.007502143,0.001109608,0.0049417,0.00008131476,0.0008031184,0.00003060135,0.00005269172,0.0001375746,0.9800575,0.004407606],"study_design_scores_gemma":[0.00395431,0.0007013939,0.002969169,0.001854602,0.004279485,0.0001110256,0.001162085,0.0001689775,0.0002356153,0.01566787,0.9652107,0.003684765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01049045,0.007998503,0.01169635,0.00008761113,0.002528388,0.004613801,0.9602283,0.001766187,0.0005904557],"genre_scores_gemma":[0.02494499,0.000256647,0.0223823,0.0004048154,0.002753791,0.001991038,0.9395234,0.005053426,0.002689608],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02070487,"threshold_uncertainty_score":0.9995547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08360941822627783,"score_gpt":0.3171551325143306,"score_spread":0.2335457142880528,"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."}}