{"id":"W6938021006","doi":"10.60510/awfwi02987","title":"IGSN AWFWI02987 (EN22003-TG05): Individual Sample (Biology, leaf for DNA analyses) of sample EN22003-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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001101537,0.001799489,0.001162664,0.005997384,0.002103045,0.001615714,0.002833343,0.001538012,0.167206],"category_scores_gemma":[0.002542446,0.001023757,0.0006885519,0.01248831,0.0005822711,0.0008238371,0.001962166,0.0008476611,0.1662557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002622555,"about_ca_system_score_gemma":0.005923394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1569079,"about_ca_topic_score_gemma":0.311714,"domain_scores_codex":[0.9989334,0.00005368773,0.00009495812,0.0003572388,0.0002762697,0.0002845433],"domain_scores_gemma":[0.9982491,0.0001343011,0.0001664152,0.0005191395,0.0006723349,0.0002588648],"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":[0.0002902099,0.00006198597,0.007480577,0.0009371808,0.00006663812,0.0001657781,0.0006247985,0.0002682473,0.006031789,0.002057197,0.9511712,0.03084439],"study_design_scores_gemma":[0.00005952499,0.00002077437,0.02621557,0.0001711346,0.0000611738,0.0001285298,0.0001941981,0.0001130274,0.001793628,0.0008426505,0.9703683,0.00003149248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00202105,0.00005651324,0.001322802,0.00003878069,0.00003976818,0.00007832637,0.9788548,0.00119425,0.01639368],"genre_scores_gemma":[0.002124968,0.0000529876,0.002105286,0.00006619219,0.000006912628,0.0001826628,0.9857419,0.001072968,0.008646157],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8430921,"threshold_uncertainty_score":0.5593597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0955501430378971,"score_gpt":0.3383531798464403,"score_spread":0.2428030368085431,"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."}}