{"id":"W6919515031","doi":"10.60510/awfwi02757","title":"IGSN AWFWI02757 (EN22058-T01): Individual Sample (Biology, plant - Picea glauca) 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); Hydrology (agriculture); Vegetation (pathology); Precipitation","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":[0.0008531562,0.001658967,0.001512183,0.007725919,0.002002941,0.001784183,0.002371122,0.001417804,0.1116299],"category_scores_gemma":[0.002474167,0.0008987966,0.0007275534,0.01832831,0.0005010649,0.0008773286,0.001930947,0.0008231002,0.0964504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002453711,"about_ca_system_score_gemma":0.006955386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2551187,"about_ca_topic_score_gemma":0.362079,"domain_scores_codex":[0.9990045,0.00004622537,0.0001128009,0.0003046357,0.000222726,0.0003091887],"domain_scores_gemma":[0.9982218,0.0001333569,0.00017358,0.0004761826,0.0007887859,0.0002061667],"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":[0.0003403495,0.00004284591,0.01179884,0.001593584,0.0001257039,0.0002040134,0.0007879434,0.0002918138,0.003890442,0.001581282,0.95291,0.02643315],"study_design_scores_gemma":[0.00006469733,0.00001949578,0.06239484,0.0002236035,0.0001145698,0.0001448674,0.0004066398,0.00009786565,0.0009050131,0.0005708197,0.9350224,0.00003529563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00181964,0.00008391562,0.000475574,0.00002192212,0.00002785656,0.0000429161,0.9912387,0.0004929461,0.005796493],"genre_scores_gemma":[0.002120689,0.00007853415,0.000878417,0.00003076219,0.000004954983,0.0001269155,0.9917656,0.0004423638,0.004551739],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.88837,"threshold_uncertainty_score":0.5072674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03267071435171465,"score_gpt":0.2679121966412593,"score_spread":0.2352414822895446,"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."}}