{"id":"W6900698564","doi":"10.60510/awfwi03017","title":"IGSN AWFWI03017 (EN22004-TG14): Individual Sample (Biology, leaf for DNA analyses) of sample EN22004-T14 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001132074,0.001928367,0.001309998,0.006522895,0.002337391,0.001682211,0.002904946,0.001680323,0.1555575],"category_scores_gemma":[0.002639199,0.001051878,0.0007070727,0.01398599,0.0006572646,0.0008230586,0.002115574,0.0008737539,0.1486779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002918281,"about_ca_system_score_gemma":0.006786653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1619103,"about_ca_topic_score_gemma":0.3073502,"domain_scores_codex":[0.9988714,0.00005573262,0.0001056535,0.0003813907,0.0002773817,0.0003085072],"domain_scores_gemma":[0.9981681,0.0001495845,0.0001875211,0.000520542,0.0006977403,0.0002763889],"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":[0.0003915882,0.00007470975,0.009559092,0.001146173,0.00008799142,0.0002097532,0.0007116533,0.0002956057,0.007402109,0.002233605,0.9434478,0.03443976],"study_design_scores_gemma":[0.00007844062,0.00002687891,0.03096371,0.0001968588,0.00008087289,0.000162503,0.0002340367,0.000118617,0.001979967,0.0008728871,0.9652478,0.00003741253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002325718,0.00006422502,0.00120278,0.00004093025,0.00003865361,0.00007790416,0.9804006,0.001153983,0.01469538],"genre_scores_gemma":[0.002311427,0.00005918343,0.001953688,0.00006453315,0.0000070808,0.0001827267,0.9874151,0.0009775157,0.007028689],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8444425,"threshold_uncertainty_score":0.5203918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09868052897588442,"score_gpt":0.3415942651202748,"score_spread":0.2429137361443904,"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."}}