{"id":"W6900554434","doi":"10.60510/awfwi02764","title":"IGSN AWFWI02764 (EN22058-T08): 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001123186,0.002899464,0.002988304,0.00224595,0.0003350651,0.0005935016,0.003256767,0.003412947,0.01861666],"category_scores_gemma":[0.001477253,0.002842227,0.0009935076,0.001393538,0.001459583,0.00034043,0.002057978,0.002652918,0.01118567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008478891,"about_ca_system_score_gemma":0.000904234,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9545251,"about_ca_topic_score_gemma":0.8324183,"domain_scores_codex":[0.9889528,0.0007719084,0.001778651,0.004101754,0.001500532,0.002894319],"domain_scores_gemma":[0.9913637,0.002120633,0.001326843,0.00387252,0.0002011172,0.001115198],"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":[0.0002159804,0.0003195603,0.002655027,0.0004108927,0.002846345,0.0004547488,0.001664485,0.000008339282,0.000006389674,0.001670917,0.9888021,0.0009452368],"study_design_scores_gemma":[0.002432838,0.0002406136,0.001433525,0.0009709618,0.0017479,0.0001231111,0.0003104699,0.0000792039,0.00006345892,0.009763118,0.9796875,0.003147357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007040771,0.009402431,0.001578872,0.0002428819,0.004811592,0.001958414,0.9756015,0.002748303,0.002951915],"genre_scores_gemma":[0.003315005,0.0004099591,0.007540194,0.0007975399,0.004758653,0.0005065952,0.9739033,0.004872952,0.003895783],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1221068,"threshold_uncertainty_score":0.999648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03175710400032951,"score_gpt":0.2619702040549413,"score_spread":0.2302131000546118,"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."}}