{"id":"W6919080576","doi":"10.60510/awfwi03743","title":"IGSN AWFWI03743 (EN22069-TG22): Individual Sample (Biology, leaf for DNA analyses) of sample EN22069-T22 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":[0.001700617,0.002446739,0.00509501,0.001747066,0.0005270396,0.001793422,0.003801169,0.003287817,0.01867223],"category_scores_gemma":[0.006379602,0.003592806,0.002512789,0.002353399,0.00183587,0.0006458352,0.001729804,0.001817527,0.0004906015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009851012,"about_ca_system_score_gemma":0.00153771,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944602,"about_ca_topic_score_gemma":0.9923313,"domain_scores_codex":[0.9859688,0.000654971,0.003321614,0.004838628,0.001772331,0.003443684],"domain_scores_gemma":[0.9864817,0.004662473,0.002729964,0.004172918,0.0007609787,0.00119198],"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":[0.0001825702,0.0007002117,0.007285821,0.001125397,0.004975671,0.00008361465,0.0006668026,0.00002700084,0.0000668976,0.0001422523,0.9792991,0.005444685],"study_design_scores_gemma":[0.003872057,0.0006851965,0.002415562,0.001794065,0.004139722,0.0001100622,0.0009623834,0.00013733,0.0003026168,0.01505051,0.966936,0.003594506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006100975,0.008266949,0.01480995,0.00008295941,0.002381338,0.004650205,0.9612902,0.001779664,0.0006377298],"genre_scores_gemma":[0.02042827,0.0002480641,0.02593693,0.0004078684,0.002644538,0.00212725,0.9404779,0.005079105,0.002650041],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02081229,"threshold_uncertainty_score":0.9992428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08284578998741332,"score_gpt":0.3166873511118897,"score_spread":0.2338415611244763,"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."}}