{"id":"W6975335374","doi":"10.60510/awfwi03008","title":"IGSN AWFWI03008 (EN22004-TG05): Individual Sample (Biology, leaf for DNA analyses) of sample EN22004-T05 from Squanga Lake (Big Salmon Range), 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; Fish <Actinopterygii>; Aquatic animal","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002100174,0.003473019,0.005350334,0.003644314,0.0004096953,0.0004145761,0.003856738,0.003614407,0.01117445],"category_scores_gemma":[0.007115687,0.003514886,0.002337344,0.002722818,0.001627871,0.0003569193,0.001470787,0.002000331,0.001148965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008278826,"about_ca_system_score_gemma":0.001238988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9281811,"about_ca_topic_score_gemma":0.9451752,"domain_scores_codex":[0.9856594,0.0009985028,0.003400864,0.004676074,0.001834398,0.003430822],"domain_scores_gemma":[0.9825783,0.007925433,0.002832271,0.00493556,0.0006161395,0.001112241],"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":[0.0006099028,0.000744217,0.002737975,0.00149891,0.005380391,0.0000573232,0.001102369,0.0000631917,0.0001183621,0.0008649276,0.9819358,0.004886637],"study_design_scores_gemma":[0.004569711,0.0006668411,0.00121842,0.001119342,0.004319197,0.0000388664,0.0004634075,0.00007975255,0.001136706,0.01270008,0.9701629,0.003524816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001495009,0.01349548,0.01296422,0.0001795794,0.003382258,0.004124368,0.9617126,0.002025187,0.0006213009],"genre_scores_gemma":[0.01092527,0.0003457215,0.02732674,0.0004682581,0.004383171,0.001630372,0.948148,0.005476934,0.001295531],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01699411,"threshold_uncertainty_score":0.9996288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09662078339932599,"score_gpt":0.3379006059179359,"score_spread":0.2412798225186099,"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."}}