{"id":"W6938070139","doi":"10.60510/awfwi03602","title":"IGSN AWFWI03602 (EN22058-TG11): Individual Sample (Biology, leaf for DNA analyses) of sample EN22058-T11 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); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001114764,0.001798369,0.001383778,0.005931429,0.002549183,0.001679026,0.002600656,0.001694982,0.1356575],"category_scores_gemma":[0.002343144,0.001026428,0.0006845875,0.01270744,0.000603284,0.0008403042,0.002031718,0.0008887703,0.1325835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002847117,"about_ca_system_score_gemma":0.006929829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1720279,"about_ca_topic_score_gemma":0.3537912,"domain_scores_codex":[0.9987683,0.00006072254,0.00011009,0.0004414978,0.0002922032,0.0003272068],"domain_scores_gemma":[0.9983393,0.0001147161,0.000156869,0.0004991466,0.0006748819,0.0002149958],"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":[0.0004978637,0.00008518971,0.01461807,0.001644121,0.0001169951,0.0003669508,0.001308671,0.0004343919,0.01409287,0.003096418,0.9125397,0.05119881],"study_design_scores_gemma":[0.00005527435,0.00002449278,0.04008671,0.0001983305,0.00008747862,0.0001962292,0.0003527368,0.0001157843,0.002289206,0.0008016106,0.9557496,0.00004247807],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003597002,0.00009122334,0.002070632,0.00004592512,0.00004969925,0.000124725,0.9745001,0.001292384,0.01822841],"genre_scores_gemma":[0.003419313,0.00007258441,0.002662443,0.00006290973,0.000006752548,0.0002523063,0.9831206,0.001104505,0.009298553],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8643425,"threshold_uncertainty_score":0.4538195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08135811430964773,"score_gpt":0.3397675170354511,"score_spread":0.2584094027258034,"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."}}