{"id":"W6975725675","doi":"10.60510/awfwi03738","title":"IGSN AWFWI03738 (EN22069-TG17): Individual Sample (Biology, leaf for DNA analyses) of sample EN22069-T17 from Fort Nelson - T8 Area East, British Columbia, 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; Sample size determination; Sampling (signal processing)","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":[0.001162465,0.001623711,0.001264312,0.008282523,0.003699506,0.001880579,0.003232586,0.001332058,0.1893276],"category_scores_gemma":[0.00287395,0.0009701914,0.0004577927,0.01565354,0.0006386154,0.0006669962,0.001712495,0.001147657,0.1654923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004652596,"about_ca_system_score_gemma":0.010401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5734162,"about_ca_topic_score_gemma":0.7966009,"domain_scores_codex":[0.998862,0.00004818057,0.00006349637,0.0003185093,0.000398181,0.0003096699],"domain_scores_gemma":[0.9973494,0.000166799,0.0001781328,0.00057954,0.001264064,0.0004620375],"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":[0.0002009022,0.0000404994,0.004492523,0.0004432112,0.00002687418,0.0001206086,0.0004836622,0.0001647,0.003731595,0.001412492,0.9574682,0.03141473],"study_design_scores_gemma":[0.00004409628,0.00001286975,0.02558249,0.0001790524,0.00003486138,0.00009929273,0.0002310583,0.00008742545,0.001612726,0.000668732,0.9714177,0.00002965856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002865327,0.00008547077,0.001357636,0.00006092786,0.00005588486,0.0001326918,0.9590979,0.001378568,0.03496568],"genre_scores_gemma":[0.003455941,0.0001076558,0.003323679,0.00009890395,0.00001513796,0.000316723,0.96088,0.001634536,0.03016743],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4265838,"threshold_uncertainty_score":0.8581921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0842359471532814,"score_gpt":0.3177615098802513,"score_spread":0.2335255627269699,"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."}}