{"id":"W6975385032","doi":"10.60510/awfwi03775","title":"IGSN AWFWI03775 (EN22071-TG21): Individual Sample (Biology, leaf for DNA analyses) of sample EN22071-T21 from Fort Nelson River lowlands, 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); DNA","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":[0.001429294,0.00200757,0.001638157,0.008723441,0.004378664,0.002432503,0.003691345,0.001862996,0.2151788],"category_scores_gemma":[0.003129302,0.001233552,0.0005975605,0.01548071,0.0007210603,0.0008122966,0.002065986,0.001404798,0.1711436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004669074,"about_ca_system_score_gemma":0.01084616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5100368,"about_ca_topic_score_gemma":0.7716264,"domain_scores_codex":[0.998709,0.00005752247,0.00007938971,0.000391055,0.0004238891,0.0003392378],"domain_scores_gemma":[0.9977852,0.0001765168,0.0001588255,0.0005075281,0.0009504135,0.0004215359],"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":[0.0002033851,0.00004312034,0.003511094,0.000563206,0.00003620212,0.0001533575,0.0005284124,0.0001744391,0.004134038,0.001686147,0.9604349,0.02853171],"study_design_scores_gemma":[0.00004960095,0.00001274563,0.01814644,0.0002326998,0.00004798447,0.0001267205,0.0001860088,0.00008472885,0.00149158,0.0008072872,0.9787788,0.0000354086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002382581,0.0001242289,0.001858681,0.00007867164,0.00007272483,0.0001332957,0.9601703,0.001684884,0.03349469],"genre_scores_gemma":[0.002843765,0.0001360975,0.003438828,0.0001291793,0.00001631375,0.0003058771,0.9639348,0.002025054,0.0271702],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4899632,"threshold_uncertainty_score":0.9856974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05809616170499327,"score_gpt":0.31494784941534,"score_spread":0.2568516877103468,"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."}}