{"id":"W6956568049","doi":"10.60510/awfwi03455","title":"IGSN AWFWI03455 (EN22041-TG02): Individual Sample (Biology, leaf for DNA analyses) of sample EN22041-T02 from Ogilvie Mountains (Nahoni Range), Yukon, 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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002269083,0.003637585,0.005615628,0.003668525,0.0004762709,0.0005378047,0.004715236,0.003537935,0.01046786],"category_scores_gemma":[0.007641917,0.003627524,0.002703754,0.002761516,0.001844613,0.0004225085,0.00197339,0.002062119,0.001272992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331315,"about_ca_system_score_gemma":0.001346633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9492295,"about_ca_topic_score_gemma":0.8361399,"domain_scores_codex":[0.9849882,0.001000389,0.003534418,0.004881956,0.001989478,0.003605608],"domain_scores_gemma":[0.981354,0.008655426,0.002935581,0.005272698,0.0006390627,0.00114323],"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":[0.0004949949,0.0007022669,0.002924716,0.001461419,0.006385511,0.0000547476,0.00133283,0.00006489085,0.0001120698,0.002178132,0.9827877,0.001500769],"study_design_scores_gemma":[0.004285289,0.0005948687,0.0007295766,0.001034699,0.004776291,0.00003863618,0.0008501238,0.0001103716,0.001393807,0.01709177,0.9654471,0.003647515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001562055,0.01457898,0.01344866,0.0002390926,0.002759553,0.004509237,0.9602926,0.001984709,0.0006251295],"genre_scores_gemma":[0.01616818,0.000504305,0.02949641,0.0006269141,0.003456466,0.001920859,0.9410576,0.005506362,0.001262962],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1130896,"threshold_uncertainty_score":0.9995046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08760099571561304,"score_gpt":0.3516749113056262,"score_spread":0.2640739155900131,"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."}}