{"id":"W6938131496","doi":"10.60510/awfwi03320","title":"IGSN AWFWI03320 (EN22030-TG02): Individual Sample (Biology, leaf for DNA analyses) of sample EN22030-T02 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":[0.001301765,0.003191501,0.004390106,0.002711839,0.0004175732,0.0004598293,0.00379437,0.002953164,0.005803173],"category_scores_gemma":[0.003535322,0.003084891,0.002005007,0.001789175,0.002514821,0.0005070121,0.001759288,0.001655015,0.0006607936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009837443,"about_ca_system_score_gemma":0.001165823,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9903475,"about_ca_topic_score_gemma":0.9616336,"domain_scores_codex":[0.9874024,0.0006929468,0.002917045,0.004280072,0.001655159,0.003052389],"domain_scores_gemma":[0.9869753,0.004749849,0.002183165,0.004388216,0.0006690589,0.001034385],"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":[0.0004551341,0.0006279687,0.01021028,0.001059466,0.005976288,0.00005912726,0.003478062,0.00003409512,0.000117481,0.0008268089,0.9762295,0.0009257125],"study_design_scores_gemma":[0.003335878,0.0005466124,0.001462654,0.0006701035,0.003865456,0.00002819359,0.0008058628,0.00004646857,0.002396265,0.007882918,0.9757894,0.003170193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002214578,0.004712481,0.007434128,0.0001643142,0.003903069,0.003210237,0.9766809,0.001479695,0.000200542],"genre_scores_gemma":[0.01535431,0.000189321,0.03526495,0.0002720056,0.004742694,0.001218893,0.9383682,0.003776062,0.0008135572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03831275,"threshold_uncertainty_score":0.9983412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06622735514005214,"score_gpt":0.3192810179019603,"score_spread":0.2530536627619082,"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."}}