{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001538847,0.001698033,0.001376391,0.006657219,0.0024801,0.001762203,0.00325434,0.0018039,0.1679155],"category_scores_gemma":[0.003111864,0.001142362,0.00063139,0.01321528,0.0005967626,0.0008670721,0.001841423,0.001286824,0.1668892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002051385,"about_ca_system_score_gemma":0.005375387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1243945,"about_ca_topic_score_gemma":0.2522567,"domain_scores_codex":[0.9987338,0.00009000204,0.0001045619,0.0004202937,0.0003764192,0.0002749074],"domain_scores_gemma":[0.9980731,0.0002454516,0.0002067793,0.0005439238,0.0006093091,0.000321433],"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":[0.0002633402,0.0000755689,0.004312812,0.0006511767,0.00004589863,0.0001435551,0.0004870332,0.0002328843,0.006164047,0.002008034,0.9577929,0.02782263],"study_design_scores_gemma":[0.0000794366,0.0000220811,0.01943404,0.0002175321,0.0000516616,0.0001476023,0.0001864299,0.0001206508,0.002154448,0.0009864219,0.9765672,0.00003249406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002020643,0.00006871276,0.001944939,0.00005758785,0.00005309472,0.000109728,0.9736231,0.001170333,0.02095194],"genre_scores_gemma":[0.001756363,0.00007586936,0.00337139,0.00008924161,0.00001290927,0.0002953001,0.9833201,0.001330014,0.009748892],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1679155,"threshold_uncertainty_score":0.5617334,"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."}}