{"id":"W6919493253","doi":"10.60510/awfwi02576","title":"IGSN AWFWI02576 (EN22037-T10): Individual Sample (Biology, plant - Picea glauca) from Richardson Mountains, 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); Quality (philosophy); Yield (engineering); Sampling (signal processing)","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":[0.0008002605,0.001571863,0.001508366,0.007942254,0.002092177,0.001625581,0.002479044,0.001327916,0.1032711],"category_scores_gemma":[0.002385438,0.0008608493,0.0006985805,0.01845183,0.0005075502,0.0008084436,0.001969555,0.0008271336,0.0907877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002141547,"about_ca_system_score_gemma":0.006043886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2236655,"about_ca_topic_score_gemma":0.3332357,"domain_scores_codex":[0.9990465,0.00003943036,0.00009860915,0.0003344017,0.0002104735,0.0002706268],"domain_scores_gemma":[0.9982134,0.0001251621,0.0001778768,0.0005033124,0.0007484565,0.0002317571],"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":[0.0003817231,0.00005183819,0.01425701,0.001533675,0.0001475611,0.0002080484,0.0009320588,0.0002941212,0.005033457,0.001837334,0.9497215,0.0256016],"study_design_scores_gemma":[0.00007411502,0.00002100523,0.06982794,0.0002016241,0.0001251824,0.0001537021,0.0004040084,0.00009655449,0.0009109904,0.0006536928,0.9274971,0.00003407492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002386001,0.00007466444,0.0005496128,0.00002150847,0.00002795063,0.0000407427,0.990275,0.0006312584,0.005993224],"genre_scores_gemma":[0.002417647,0.0000710345,0.0009028328,0.00003177747,0.000005418957,0.000114916,0.9917803,0.0005496378,0.004126546],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8967289,"threshold_uncertainty_score":0.4447272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03275603442747516,"score_gpt":0.278693659203715,"score_spread":0.2459376247762398,"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."}}