{"id":"W6919457297","doi":"10.60510/awfwi03595","title":"IGSN AWFWI03595 (EN22058-TG04): Individual Sample (Biology, leaf for DNA analyses) of sample EN22058-T04 from Yukon River Lowlands, 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001150686,0.001849629,0.001383258,0.006206675,0.002383642,0.001765733,0.002641576,0.001737388,0.1425409],"category_scores_gemma":[0.002541904,0.001030059,0.0007138076,0.01319025,0.0006134555,0.000867993,0.002053172,0.0008795886,0.1379058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002943573,"about_ca_system_score_gemma":0.007314959,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1902816,"about_ca_topic_score_gemma":0.3582861,"domain_scores_codex":[0.9987166,0.00006670853,0.0001164103,0.0004440869,0.0003064539,0.0003497009],"domain_scores_gemma":[0.998264,0.0001211725,0.0001724707,0.0005099695,0.000719647,0.0002127695],"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":[0.0004525068,0.00007578008,0.01311603,0.001573688,0.0001124175,0.0003038859,0.001175286,0.0004184816,0.01037933,0.002838354,0.9239458,0.04560848],"study_design_scores_gemma":[0.00005385707,0.00002322903,0.03856684,0.0002045862,0.00008586774,0.0001686558,0.0003382752,0.0001138415,0.001981264,0.000823401,0.957599,0.00004119889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002980521,0.00008878095,0.001682531,0.00004280084,0.00005019387,0.00010431,0.9773053,0.001195616,0.01654997],"genre_scores_gemma":[0.003147674,0.00007078252,0.002383981,0.00006046128,0.000007008906,0.0002198248,0.9843568,0.001065725,0.008687771],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8574591,"threshold_uncertainty_score":0.4768468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07895798275516376,"score_gpt":0.340493188318793,"score_spread":0.2615352055636292,"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."}}