{"id":"W6900588277","doi":"10.60510/awfwi02871","title":"IGSN AWFWI02871 (EN22065-T23): Individual Sample (Biology, plant - Betula papyrifera) from Northern Rocky Mountains, British Columbia, 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); Vegetation (pathology); Population","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":[0.0009755917,0.00178573,0.001610659,0.01096134,0.003319568,0.002193113,0.002752762,0.001353597,0.1662432],"category_scores_gemma":[0.003394516,0.0009436731,0.0005254391,0.02470092,0.0005505196,0.0007035006,0.001799343,0.001183039,0.1201725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003842748,"about_ca_system_score_gemma":0.01118427,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6920061,"about_ca_topic_score_gemma":0.8057405,"domain_scores_codex":[0.9989688,0.00004223929,0.00007437621,0.0002814193,0.0002962391,0.0003368421],"domain_scores_gemma":[0.9970832,0.0002381803,0.0002454978,0.0005145553,0.001432239,0.0004862369],"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":[0.0001140396,0.00001911618,0.003052413,0.0004464325,0.00003032682,0.00006959013,0.0002777379,0.00008594766,0.0006694348,0.000438981,0.9844848,0.0103111],"study_design_scores_gemma":[0.00007791927,0.00001181568,0.04905972,0.0003049968,0.00007268293,0.000102482,0.0003405449,0.00007732255,0.0005238446,0.0004503257,0.9489467,0.00003174059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001089921,0.00007898841,0.0002096854,0.00002923001,0.00002624698,0.00003679954,0.9906849,0.000421381,0.007422721],"genre_scores_gemma":[0.001786009,0.0001113264,0.0007153003,0.00005402058,0.00001116516,0.0001565303,0.9861895,0.0005274492,0.01044874],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3079939,"threshold_uncertainty_score":0.6196156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02018486050952519,"score_gpt":0.2423463656388395,"score_spread":0.2221615051293143,"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."}}