{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002209042,0.003473073,0.005349048,0.003574653,0.0003965316,0.0004272594,0.003752496,0.003588668,0.01072336],"category_scores_gemma":[0.008236168,0.003515264,0.002152886,0.002980384,0.00156242,0.0003529823,0.001414265,0.001995608,0.001073321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000767906,"about_ca_system_score_gemma":0.001192582,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9242962,"about_ca_topic_score_gemma":0.9447177,"domain_scores_codex":[0.9855908,0.001087363,0.003409731,0.004653173,0.001811876,0.003447107],"domain_scores_gemma":[0.9826844,0.007782072,0.002856962,0.004907565,0.0006554708,0.0011135],"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":[0.0005364526,0.000715133,0.002923659,0.001409353,0.005052579,0.00004940077,0.001069002,0.000051021,0.00009471917,0.000895111,0.9834074,0.003796137],"study_design_scores_gemma":[0.004315067,0.0006472492,0.001340329,0.001038045,0.004363683,0.00003516893,0.000523956,0.00007543268,0.00117077,0.01017457,0.9728383,0.003477457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001610071,0.01204818,0.0129058,0.0001631184,0.00362173,0.004191407,0.9629138,0.001892579,0.0006533295],"genre_scores_gemma":[0.0108481,0.0003236347,0.02629646,0.0004851995,0.004140637,0.001518675,0.9496606,0.00547835,0.001248321],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02042153,"threshold_uncertainty_score":0.9997045,"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."}}