{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001544868,0.001796497,0.001430535,0.007341579,0.002263417,0.00193429,0.003321834,0.001744891,0.2250005],"category_scores_gemma":[0.003556426,0.001158358,0.000665729,0.01432792,0.0005939708,0.0009242182,0.00197182,0.001215331,0.2218997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002107221,"about_ca_system_score_gemma":0.005731298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1433343,"about_ca_topic_score_gemma":0.2634023,"domain_scores_codex":[0.9986771,0.00009075729,0.0001063942,0.0004168907,0.0004107199,0.0002981006],"domain_scores_gemma":[0.9978363,0.0002686737,0.0002224023,0.0005915759,0.0007409495,0.0003400967],"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":[0.0001623007,0.00004645277,0.002646611,0.0005017329,0.00002937197,0.0000820837,0.000312124,0.0001735003,0.002564518,0.001367686,0.9724452,0.01966851],"study_design_scores_gemma":[0.00005983749,0.00001457304,0.01359501,0.0001937252,0.00003628503,0.00009282256,0.000143077,0.0001022699,0.001347049,0.0008470512,0.9835418,0.00002643894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001072863,0.00005331328,0.001239856,0.00004349216,0.00004455396,0.00007362896,0.9780346,0.001082807,0.01835492],"genre_scores_gemma":[0.001131661,0.00005916585,0.002439781,0.00006992055,0.00001158649,0.0002199188,0.9855398,0.00124892,0.009279259],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8566657,"threshold_uncertainty_score":0.7527016,"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."}}