{"id":"W6957102982","doi":"10.60510/awfwi03315","title":"IGSN AWFWI03315 (EN22029-TG03): Individual Sample (Biology, leaf for DNA analyses) of sample EN22029-T03 from Peel River Watershed, Northwest Territories, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"Research Data Management Practices","field":"Computer Science","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":[0.001862634,0.001418153,0.001153219,0.00679911,0.001860258,0.001845316,0.003162898,0.001291341,0.2609811],"category_scores_gemma":[0.004707036,0.001042556,0.0005358786,0.01370843,0.0005410657,0.0009937425,0.001837319,0.001006397,0.2721037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002644835,"about_ca_system_score_gemma":0.007748938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.227072,"about_ca_topic_score_gemma":0.2992454,"domain_scores_codex":[0.9984804,0.00009999171,0.0001256706,0.0004389092,0.0005687354,0.0002862799],"domain_scores_gemma":[0.9962136,0.0003503362,0.0003339057,0.00103214,0.001631584,0.0004383734],"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":[0.0001389512,0.00004019238,0.002346685,0.0002887222,0.00001270694,0.0000346668,0.0002113068,0.0001273639,0.001967764,0.001022824,0.9659876,0.02782118],"study_design_scores_gemma":[0.00005290589,0.00001427688,0.01410257,0.0001250752,0.00001973283,0.0000581789,0.0001539339,0.0001810936,0.002052938,0.0006921547,0.9825255,0.00002166393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001315865,0.00003231171,0.00174557,0.0000652185,0.00004042891,0.0001150667,0.9645826,0.002320958,0.02978197],"genre_scores_gemma":[0.001347696,0.0000453553,0.004290433,0.00007005065,0.0000125847,0.0002698568,0.9761737,0.001778373,0.01601199],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7729279,"threshold_uncertainty_score":0.8730688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1225974906081959,"score_gpt":0.366532486984518,"score_spread":0.2439349963763221,"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."}}