{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002124485,0.003466921,0.005354302,0.003586073,0.0004299873,0.0004477183,0.00400625,0.003556055,0.01058616],"category_scores_gemma":[0.007658839,0.003513214,0.002350989,0.002492133,0.001595322,0.0003596825,0.001493567,0.001969612,0.001122885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008118922,"about_ca_system_score_gemma":0.001244384,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9307921,"about_ca_topic_score_gemma":0.9456449,"domain_scores_codex":[0.9857839,0.000993503,0.003349342,0.004662789,0.00181555,0.003394955],"domain_scores_gemma":[0.9823419,0.007828638,0.002943481,0.005135176,0.0006187032,0.00113203],"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":[0.0006234303,0.0007378703,0.003027021,0.00159311,0.00544613,0.00005924844,0.001020989,0.00006256261,0.0001100857,0.0008464318,0.9809657,0.005507416],"study_design_scores_gemma":[0.00462187,0.0006545971,0.001431417,0.001162668,0.004540427,0.00003439365,0.0004109144,0.00008360623,0.001021761,0.0137027,0.9687976,0.003538085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001447208,0.01303082,0.01269253,0.0001731462,0.003353592,0.004115758,0.9625646,0.001978657,0.0006436938],"genre_scores_gemma":[0.01216716,0.0003281488,0.02516638,0.0004499659,0.004353795,0.001598652,0.949284,0.005362883,0.001288982],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0148528,"threshold_uncertainty_score":0.9996548,"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."}}