{"id":"W6938277015","doi":"10.60510/awfwi03304","title":"IGSN AWFWI03304 (EN22027-TG01): Individual Sample (Biology, leaf for DNA analyses) of sample EN22027-T01 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":[0.00127869,0.003116606,0.004297432,0.002575198,0.0004008014,0.0004415071,0.003709829,0.002811309,0.00659854],"category_scores_gemma":[0.003667625,0.00302779,0.001997038,0.001902705,0.002343489,0.0004841136,0.001828402,0.001670362,0.0006541483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017478,"about_ca_system_score_gemma":0.00129336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9896547,"about_ca_topic_score_gemma":0.9623981,"domain_scores_codex":[0.9875181,0.0006789211,0.002854905,0.004327098,0.001627704,0.002993297],"domain_scores_gemma":[0.98735,0.004557304,0.002071836,0.004367909,0.0006572755,0.0009956562],"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":[0.0004508909,0.0006440101,0.01001632,0.001298875,0.006149101,0.00006339445,0.003374949,0.00003172891,0.000113988,0.0006961611,0.9760802,0.001080325],"study_design_scores_gemma":[0.003226112,0.0005172448,0.001548669,0.0007303421,0.003897545,0.00002862886,0.0009361765,0.00004093801,0.0021615,0.00889861,0.9749114,0.003102833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002564251,0.004955694,0.005705276,0.0001919522,0.004505458,0.0031125,0.9773564,0.001405366,0.0002030883],"genre_scores_gemma":[0.01344935,0.000207177,0.03078246,0.0002688762,0.005049574,0.001204682,0.943903,0.004146442,0.0009884973],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03345347,"threshold_uncertainty_score":0.9984832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.063432396005815,"score_gpt":0.318509444905963,"score_spread":0.255077048900148,"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."}}