{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008643199,0.001690757,0.00151313,0.008185296,0.002205621,0.001928388,0.002424452,0.001542695,0.1193472],"category_scores_gemma":[0.002584056,0.0008920995,0.0007573583,0.01820754,0.0005612891,0.0009384361,0.002226174,0.0008310157,0.1030298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002597573,"about_ca_system_score_gemma":0.007169842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2389854,"about_ca_topic_score_gemma":0.3573823,"domain_scores_codex":[0.9989134,0.00005105668,0.0001208242,0.0003359697,0.0002451611,0.0003335485],"domain_scores_gemma":[0.9982885,0.000129497,0.0001683422,0.0004686741,0.0007548987,0.0001901104],"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":[0.0003537667,0.00004311339,0.01233326,0.00186987,0.0001377237,0.0002484316,0.001084593,0.0003006362,0.004716565,0.001908891,0.9470987,0.02990436],"study_design_scores_gemma":[0.00004764093,0.00001599278,0.05030382,0.0002213626,0.0001038197,0.0001430685,0.000456631,0.00007121981,0.0008539667,0.0005559913,0.9471931,0.00003345552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002209777,0.0001147099,0.0006136724,0.00002802111,0.00003548527,0.00005051083,0.9887195,0.000601941,0.007626305],"genre_scores_gemma":[0.002639322,0.0001040837,0.001144596,0.00003916294,0.000006198309,0.0001643766,0.9893265,0.0005914366,0.005984423],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8806528,"threshold_uncertainty_score":0.4751887,"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."}}