{"id":"W6975283826","doi":"10.60510/awfwi03018","title":"IGSN AWFWI03018 (EN22004-TG17): Individual Sample (Biology, leaf for DNA analyses) of sample EN22004-T17 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":[0.002134212,0.003458939,0.005282176,0.003681795,0.0004131036,0.0004301364,0.003884691,0.003549998,0.01077004],"category_scores_gemma":[0.007112145,0.003491035,0.002358357,0.002756882,0.001417818,0.0003434898,0.001445128,0.001929877,0.001093079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007945362,"about_ca_system_score_gemma":0.001153299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9339468,"about_ca_topic_score_gemma":0.9520988,"domain_scores_codex":[0.9857896,0.0009911339,0.003349547,0.004645952,0.001819154,0.003404611],"domain_scores_gemma":[0.9828237,0.007646212,0.002839252,0.004963126,0.0006285404,0.001099208],"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":[0.0006133178,0.0007400631,0.002810604,0.001319772,0.005421226,0.00005282137,0.001062589,0.0000597688,0.0001054175,0.0009820715,0.9820883,0.004744038],"study_design_scores_gemma":[0.004501017,0.0007070331,0.001306876,0.00113701,0.004440674,0.0000338506,0.0004408358,0.00008550234,0.001045763,0.0150288,0.9677675,0.003505103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001286048,0.01266013,0.01518598,0.0001738237,0.003352506,0.004103354,0.9606291,0.002009409,0.0005996695],"genre_scores_gemma":[0.01379874,0.0003122226,0.02529692,0.0004482398,0.004240562,0.001597604,0.9477189,0.005368666,0.001218111],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01815199,"threshold_uncertainty_score":0.9996847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09801057066006315,"score_gpt":0.3408003269351872,"score_spread":0.2427897562751241,"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."}}