{"id":"W6900446656","doi":"10.60510/awfwi03711","title":"IGSN AWFWI03711 (EN22065-TG28): Individual Sample (Biology, leaf for DNA analyses) of sample EN22065-T28 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); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001457361,0.002357924,0.00473673,0.001536538,0.0005453877,0.001343041,0.003866795,0.003195149,0.01249106],"category_scores_gemma":[0.005860728,0.003472611,0.002216599,0.002100326,0.001657217,0.0004240743,0.001685992,0.001798866,0.0008585326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242517,"about_ca_system_score_gemma":0.001667881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9976711,"about_ca_topic_score_gemma":0.9987343,"domain_scores_codex":[0.9864523,0.0007487779,0.003210375,0.004633345,0.001728566,0.00322661],"domain_scores_gemma":[0.9862931,0.005063013,0.002655843,0.004094305,0.0008386933,0.001055071],"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":[0.0001648292,0.0007253134,0.01728441,0.001248376,0.005816845,0.00008382029,0.0008299834,0.0000455113,0.00006294731,0.00009309954,0.9683704,0.005274511],"study_design_scores_gemma":[0.003734013,0.000561777,0.002241461,0.001419815,0.003682539,0.00007869278,0.001047415,0.00008677095,0.0002766958,0.01415019,0.9691148,0.003605812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009536842,0.01204558,0.008398558,0.00007020199,0.00194799,0.004125379,0.9617637,0.001748433,0.0003633675],"genre_scores_gemma":[0.01935721,0.0003284904,0.01714242,0.0003795987,0.002782169,0.001726317,0.9500746,0.005573223,0.002636028],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01504295,"threshold_uncertainty_score":0.9999194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04898828344491592,"score_gpt":0.308850507492175,"score_spread":0.2598622240472591,"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."}}