{"id":"W6919257346","doi":"10.60510/awfwi02763","title":"IGSN AWFWI02763 (EN22058-T07): Individual Sample (Biology, plant - Picea mariana) 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":[],"consensus_categories":[],"category_scores_codex":[0.0008630481,0.001681282,0.001506972,0.008162716,0.002198561,0.001935148,0.00240384,0.001518101,0.1157864],"category_scores_gemma":[0.002569162,0.0008922304,0.0007520563,0.01795392,0.0005572641,0.0009398825,0.002219671,0.0008349041,0.1023835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002570924,"about_ca_system_score_gemma":0.007122076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2394808,"about_ca_topic_score_gemma":0.3570822,"domain_scores_codex":[0.9989111,0.00005064407,0.0001209743,0.0003323609,0.0002499416,0.0003349184],"domain_scores_gemma":[0.9982927,0.0001287528,0.0001665934,0.0004670951,0.0007540691,0.000190785],"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":[0.0003569881,0.00004388734,0.01239711,0.001832547,0.0001385522,0.0002495705,0.001087613,0.0003002822,0.004772457,0.001958179,0.9465241,0.03033865],"study_design_scores_gemma":[0.00004787341,0.00001622229,0.05149794,0.0002208314,0.0001043515,0.0001456594,0.0004602151,0.0000737158,0.000885272,0.0005680798,0.945946,0.00003386849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00228366,0.000115595,0.0006416018,0.00002814887,0.0000356922,0.00005179607,0.988383,0.000612825,0.007847699],"genre_scores_gemma":[0.002637537,0.0001029326,0.001160611,0.00003879402,0.000006147391,0.0001626231,0.9894043,0.0005974831,0.00588966],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7605192,"threshold_uncertainty_score":0.4761737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03189093049925357,"score_gpt":0.2619570758370443,"score_spread":0.2300661453377907,"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."}}