{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001140799,0.002143055,0.002603921,0.003394704,0.0001126155,0.0004037885,0.001638102,0.001761168,0.007201743],"category_scores_gemma":[0.001186966,0.002123712,0.000938155,0.002064646,0.000636424,0.0002952998,0.0009273455,0.001987462,0.01788881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001052255,"about_ca_system_score_gemma":0.0006758235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8968321,"about_ca_topic_score_gemma":0.9759038,"domain_scores_codex":[0.9912305,0.0004108917,0.001746223,0.002817995,0.001359691,0.002434676],"domain_scores_gemma":[0.9946532,0.0005597637,0.0009348049,0.002975776,0.0001716621,0.0007047827],"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":[0.0000611721,0.000260054,0.002721783,0.0008655665,0.0003421,0.0009073752,0.001355119,0.00001651606,0.000003279852,0.0006829964,0.9911083,0.001675723],"study_design_scores_gemma":[0.001224482,0.0001446116,0.004486023,0.00174339,0.0004099641,0.0001679472,0.0001655916,0.0001243687,0.00005676689,0.001990388,0.9872978,0.002188645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008328751,0.006007111,0.0001472901,0.0002197364,0.001780008,0.001681024,0.9355491,0.002044681,0.05173816],"genre_scores_gemma":[0.01339857,0.000187734,0.001488363,0.0002255256,0.002038708,0.0006871731,0.9386932,0.005408958,0.03787183],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07907173,"threshold_uncertainty_score":0.9995347,"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."}}