{"id":"W6975790540","doi":"10.60510/awfwi02482","title":"IGSN AWFWI02482 (EN22029-T05): Individual Sample (Biology, plant - Picea glauca) from Peel River Watershed, Northwest Territories, 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); Quality (philosophy); Hydrology (agriculture); Period (music)","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":[0.00131928,0.001771299,0.00166707,0.009405724,0.00192905,0.002045219,0.002927911,0.001575751,0.1906927],"category_scores_gemma":[0.003849978,0.001083699,0.0007308268,0.0203679,0.0005229219,0.001020937,0.002085954,0.001217746,0.1754679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001900626,"about_ca_system_score_gemma":0.005963411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1987406,"about_ca_topic_score_gemma":0.2599033,"domain_scores_codex":[0.9987663,0.00007696147,0.0001227453,0.000369077,0.0003629785,0.0003018533],"domain_scores_gemma":[0.9975392,0.0003142737,0.0002676328,0.0006044183,0.0009299021,0.0003445715],"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":[0.0001176736,0.00002601886,0.002276634,0.0005269045,0.00003240728,0.00005539098,0.0002287578,0.0001284021,0.001000129,0.0008078679,0.9849532,0.009846572],"study_design_scores_gemma":[0.00006811566,0.00001216011,0.02062422,0.0002062676,0.00004518042,0.00007485402,0.00017231,0.00007673436,0.0005670018,0.0006070319,0.9775226,0.00002346926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005514514,0.00004301111,0.0003452202,0.00002162604,0.00002518822,0.00002912084,0.9926175,0.0004009279,0.005965868],"genre_scores_gemma":[0.0007005346,0.00006094258,0.000938108,0.0000376048,0.000008667806,0.0001438565,0.9921559,0.0005587061,0.005395656],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8012593,"threshold_uncertainty_score":0.6379306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02841831011147945,"score_gpt":0.2556464991543145,"score_spread":0.227228189042835,"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."}}