{"id":"W6957022635","doi":"10.60510/awfwi02113","title":"IGSN AWFWI02113 (EN22054): Site in Boreal Forests/Taiga, Tintina Trench, 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":"Precipitation; Boreal; Natural (archaeology)","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":[0.0005235785,0.001193349,0.0009233226,0.004993601,0.001492286,0.001447516,0.001759857,0.0008796892,0.1582813],"category_scores_gemma":[0.001687463,0.0006955307,0.0005081779,0.01196178,0.0003288086,0.0008013445,0.001303487,0.0006146898,0.1231963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001926457,"about_ca_system_score_gemma":0.005151467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3560927,"about_ca_topic_score_gemma":0.5145738,"domain_scores_codex":[0.9994266,0.00002677764,0.00004726844,0.0001563037,0.0001507781,0.0001922484],"domain_scores_gemma":[0.9988056,0.00007949013,0.00009922611,0.0002298987,0.000631833,0.0001538849],"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":[0.0001109093,0.00002504617,0.006879662,0.000512438,0.0000307783,0.00007987586,0.0003842649,0.0001554658,0.0008073341,0.0009987693,0.9748024,0.01521294],"study_design_scores_gemma":[0.00004387653,0.00001219864,0.05561652,0.0001544626,0.00004228512,0.00009556273,0.0004586219,0.0001027503,0.0005776988,0.0005407003,0.942333,0.00002217407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001569178,0.0000700399,0.000297775,0.00002560269,0.00003378955,0.00004219044,0.983556,0.0004284803,0.01397687],"genre_scores_gemma":[0.002879508,0.00007777173,0.0008035338,0.0000383591,0.000007014899,0.0001180071,0.9794483,0.0004765327,0.01615098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6439073,"threshold_uncertainty_score":0.70804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802660656811944,"score_gpt":0.2668336088427987,"score_spread":0.2488070022746792,"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."}}