{"id":"W6919401676","doi":"10.60510/awfwi03317","title":"IGSN AWFWI03317 (EN22029-TG05): Individual Sample (Biology, leaf for DNA analyses) of sample EN22029-T05 from Peel River Watershed, Northwest Territories, 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; Quality (philosophy)","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"],"category_scores_codex":[0.001250018,0.003116276,0.004306579,0.002702346,0.0004147646,0.0004474221,0.003762567,0.00285012,0.006697282],"category_scores_gemma":[0.003410854,0.003027638,0.00201688,0.001803316,0.002461181,0.0004830417,0.001852997,0.001656547,0.0006557231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006291,"about_ca_system_score_gemma":0.00122615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9915263,"about_ca_topic_score_gemma":0.9674725,"domain_scores_codex":[0.9876209,0.0006730115,0.002845538,0.004205368,0.001628715,0.003026444],"domain_scores_gemma":[0.9873233,0.00457775,0.002103827,0.004368037,0.0006110703,0.001016031],"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":[0.0004365896,0.0005893281,0.01143792,0.001226948,0.006162049,0.00006041429,0.00336178,0.00002982051,0.0001074661,0.0007798664,0.974718,0.001089778],"study_design_scores_gemma":[0.00313476,0.0005090909,0.00165468,0.0006969511,0.003883194,0.00002760912,0.0009476055,0.00004632108,0.002001619,0.008348049,0.9756703,0.003079834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0022566,0.005252461,0.006147411,0.0001923075,0.003865172,0.003047253,0.9776357,0.001407622,0.0001954588],"genre_scores_gemma":[0.01460449,0.000220015,0.02910885,0.0002733883,0.00486632,0.001210077,0.9445455,0.00412772,0.001043604],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03309019,"threshold_uncertainty_score":0.9984444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06303910343026725,"score_gpt":0.3192492646372062,"score_spread":0.2562101612069389,"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."}}