{"id":"W6900628511","doi":"10.60510/awfwi03733","title":"IGSN AWFWI03733 (EN22069-TG12): Individual Sample (Biology, leaf for DNA analyses) of sample EN22069-T12 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":[0.001220663,0.001692004,0.001328797,0.008531027,0.003970989,0.001957241,0.00337351,0.001429517,0.201767],"category_scores_gemma":[0.002899785,0.00102034,0.0004781029,0.015744,0.0006457132,0.0006990177,0.001761126,0.001196374,0.1724648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004675347,"about_ca_system_score_gemma":0.01008992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5589255,"about_ca_topic_score_gemma":0.7887256,"domain_scores_codex":[0.9988405,0.00005015688,0.00006529672,0.0003352704,0.0003941644,0.0003147197],"domain_scores_gemma":[0.9974382,0.000166112,0.0001666391,0.000570124,0.001207202,0.0004517128],"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":[0.0002084283,0.00004410363,0.004100984,0.0004485051,0.00002677793,0.0001257941,0.0005062931,0.0001668603,0.0040579,0.001508531,0.9568133,0.03199251],"study_design_scores_gemma":[0.00004606836,0.00001352756,0.02374156,0.0001769838,0.0000359098,0.000106063,0.0002285721,0.00009147765,0.001691871,0.0007269962,0.9731092,0.00003188662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002872463,0.00008586487,0.001584071,0.0000649717,0.00005941279,0.000146523,0.9563887,0.001560922,0.03723721],"genre_scores_gemma":[0.003412275,0.0001064629,0.003607652,0.0001081703,0.00001544972,0.000343473,0.9593366,0.001770686,0.03129932],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4410745,"threshold_uncertainty_score":0.8873441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08423166203246436,"score_gpt":0.3171779710069134,"score_spread":0.232946308974449,"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."}}