{"id":"W6919502518","doi":"10.60510/awfwi03793","title":"IGSN AWFWI03793 (EN22074-TG01): Individual Sample (Biology, leaf for DNA analyses) of sample EN22074-T01 from Northern Rocky Mountains, 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","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001494788,0.002348708,0.004722091,0.001560233,0.000553347,0.001383314,0.00386872,0.003138928,0.01306935],"category_scores_gemma":[0.005946171,0.00345706,0.002202639,0.002175801,0.001721799,0.0004222468,0.001673699,0.001796054,0.0008279192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001281574,"about_ca_system_score_gemma":0.001819084,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975948,"about_ca_topic_score_gemma":0.9987229,"domain_scores_codex":[0.9864213,0.0007493644,0.003208649,0.004677474,0.001723015,0.00322022],"domain_scores_gemma":[0.9862394,0.00508152,0.002658087,0.004123065,0.0008410111,0.001056876],"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":[0.0001515318,0.0007301045,0.0153674,0.001124691,0.005545365,0.00007520775,0.0007913029,0.00003810677,0.00007042493,0.0001059084,0.9711175,0.004882463],"study_design_scores_gemma":[0.003541866,0.0005439101,0.00175686,0.001329043,0.00362915,0.0000855883,0.001099209,0.00007027397,0.0002921227,0.0138278,0.9702694,0.00355476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009066356,0.01139229,0.008761969,0.00007345463,0.00215946,0.004096681,0.9622669,0.00171301,0.0004698736],"genre_scores_gemma":[0.01975304,0.0003263649,0.01728126,0.0004009476,0.002995415,0.001641875,0.9494187,0.005387024,0.002795415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0137219,"threshold_uncertainty_score":0.9999501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04910550254969609,"score_gpt":0.3100073961053523,"score_spread":0.2609018935556562,"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."}}