{"id":"W6938007542","doi":"10.60510/awfwi03734","title":"IGSN AWFWI03734 (EN22069-TG13): Individual Sample (Biology, leaf for DNA analyses) of sample EN22069-T13 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":[0.001147717,0.001651852,0.001256886,0.008152022,0.003856371,0.001864739,0.003326076,0.001371588,0.1978183],"category_scores_gemma":[0.002612644,0.001002143,0.0004684542,0.01542834,0.0006323264,0.0006728955,0.001679541,0.001143604,0.1673239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004596518,"about_ca_system_score_gemma":0.00929681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5248438,"about_ca_topic_score_gemma":0.7736548,"domain_scores_codex":[0.9989165,0.00004573311,0.00006086149,0.0003135384,0.0003724245,0.00029088],"domain_scores_gemma":[0.9977074,0.0001473515,0.0001500737,0.0005229337,0.001066049,0.0004062123],"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":[0.0002127462,0.00004616092,0.00448436,0.0004595691,0.00002783909,0.0001402908,0.0004945108,0.000181357,0.005076745,0.001646702,0.9503402,0.03688958],"study_design_scores_gemma":[0.00004297999,0.00001332331,0.02355048,0.0001736884,0.00003552641,0.0001097121,0.000213997,0.00009558827,0.001980969,0.0007358222,0.9730169,0.00003114542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003279175,0.00009279338,0.001827739,0.00006750284,0.0000596405,0.0001548263,0.9499575,0.001778594,0.04278219],"genre_scores_gemma":[0.003766313,0.0001163374,0.004069299,0.0001116508,0.00001504538,0.0003398415,0.9564034,0.001907963,0.0332701],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4751562,"threshold_uncertainty_score":0.955909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08344080591736687,"score_gpt":0.3165151354228642,"score_spread":0.2330743295054974,"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."}}