{"id":"W6975337215","doi":"10.60510/awfwi03679","title":"IGSN AWFWI03679 (EN22064-TG05): Individual Sample (Biology, leaf for DNA analyses) of sample EN22064-T05 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":[0.001668734,0.002251072,0.004858657,0.001647027,0.0004859863,0.001230085,0.003888607,0.003348201,0.0176395],"category_scores_gemma":[0.007463828,0.003369465,0.002417098,0.002206102,0.002642008,0.0004314169,0.001865816,0.001773766,0.0009471449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009240083,"about_ca_system_score_gemma":0.001452317,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.996913,"about_ca_topic_score_gemma":0.9933335,"domain_scores_codex":[0.9865634,0.0008432012,0.003065121,0.004665014,0.0017226,0.003140615],"domain_scores_gemma":[0.9850947,0.006437161,0.002538224,0.00407882,0.0007519095,0.001099156],"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":[0.0001555477,0.0006253266,0.004563799,0.00111299,0.005328931,0.00007765654,0.0007499834,0.00001563158,0.0000650389,0.0001638027,0.9827231,0.004418214],"study_design_scores_gemma":[0.003924652,0.0005716346,0.002075837,0.001531708,0.004204499,0.00006769476,0.0005103853,0.0000532316,0.0004034025,0.02043777,0.962923,0.003296122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003725636,0.01205396,0.008986771,0.00007403061,0.003031046,0.004066611,0.9657564,0.001811076,0.0004944656],"genre_scores_gemma":[0.007531176,0.0005600365,0.03970661,0.0004115686,0.00286233,0.001467741,0.9391161,0.004921013,0.003423457],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03071984,"threshold_uncertainty_score":0.9998307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06145924504748541,"score_gpt":0.3185384690275929,"score_spread":0.2570792239801075,"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."}}