{"id":"W6900678009","doi":"10.60510/awfwi03677","title":"IGSN AWFWI03677 (EN22064-TG03): Individual Sample (Biology, leaf for DNA analyses) of sample EN22064-T03 from Liard River, 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","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":[0.001662892,0.002245692,0.004847855,0.001633279,0.0004774696,0.001227799,0.003852827,0.003335772,0.01743837],"category_scores_gemma":[0.007854424,0.003362564,0.002395535,0.002231401,0.002500489,0.0004276521,0.001832634,0.001801904,0.0008190434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000899494,"about_ca_system_score_gemma":0.001467945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966208,"about_ca_topic_score_gemma":0.9923666,"domain_scores_codex":[0.9866087,0.0008566106,0.003052526,0.004660844,0.001710285,0.003111044],"domain_scores_gemma":[0.985338,0.006185952,0.002531614,0.004079088,0.0007740622,0.00109133],"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":[0.0001555773,0.0006254037,0.004245807,0.001128223,0.005303408,0.00007893021,0.0007375905,0.00001505239,0.00005758574,0.0001555134,0.9828284,0.004668479],"study_design_scores_gemma":[0.003957027,0.0005730134,0.002061755,0.001530283,0.004178173,0.00006857006,0.000498684,0.00006006961,0.0003639079,0.020492,0.962916,0.003300544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003685144,0.01175533,0.00855937,0.00007085223,0.003056047,0.004077434,0.9664971,0.001823622,0.0004751598],"genre_scores_gemma":[0.007934282,0.0005283616,0.03496434,0.0004165407,0.002769039,0.001480629,0.9432725,0.005000705,0.003633579],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02640497,"threshold_uncertainty_score":0.9999589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06164588891695874,"score_gpt":0.3183490318328885,"score_spread":0.2567031429159298,"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."}}