{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001523654,0.002119499,0.001789069,0.009209936,0.004478161,0.002704325,0.00390563,0.002029341,0.2081475],"category_scores_gemma":[0.003348397,0.001312655,0.0006655821,0.0159182,0.0007962127,0.0009169049,0.002247144,0.001649725,0.1859879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004207329,"about_ca_system_score_gemma":0.01056533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.400436,"about_ca_topic_score_gemma":0.6741121,"domain_scores_codex":[0.9985663,0.00006757578,0.00009681925,0.0004590862,0.0004709229,0.0003393922],"domain_scores_gemma":[0.9977306,0.0001982264,0.0001649469,0.0005791039,0.0009155248,0.0004116625],"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":[0.0002441315,0.00005087721,0.0034133,0.0007292424,0.00004517499,0.0001793098,0.0006398191,0.0001914429,0.006881817,0.002154497,0.9531805,0.03228987],"study_design_scores_gemma":[0.00005348009,0.00001491806,0.01504739,0.0002516719,0.00005793832,0.0001433067,0.0001874838,0.00009677033,0.002019397,0.0009879011,0.9810995,0.00004020208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002627073,0.0001474072,0.002422298,0.00008647372,0.00008176835,0.0001509854,0.957891,0.002379718,0.03421329],"genre_scores_gemma":[0.002904835,0.0001487094,0.004211668,0.0001484306,0.00001722839,0.0003488074,0.962236,0.002756655,0.02722765],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.599564,"threshold_uncertainty_score":0.7962104,"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."}}