{"id":"W6938253713","doi":"10.60510/awfwi03454","title":"IGSN AWFWI03454 (EN22041-TG01): Individual Sample (Biology, leaf for DNA analyses) of sample EN22041-T01 from Ogilvie Mountains (Nahoni Range), Yukon, 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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002218859,0.00363625,0.005620914,0.003703093,0.0004745639,0.0005031658,0.004405112,0.003503711,0.01050153],"category_scores_gemma":[0.008097075,0.003646323,0.002688977,0.002787313,0.001827248,0.0004742918,0.001829701,0.002068642,0.001233658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171683,"about_ca_system_score_gemma":0.001457634,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9491547,"about_ca_topic_score_gemma":0.8328537,"domain_scores_codex":[0.9850026,0.00101063,0.003532458,0.004959974,0.001860944,0.003633348],"domain_scores_gemma":[0.9811359,0.008682852,0.002934387,0.00540145,0.0006950831,0.001150348],"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":[0.0005068698,0.0007521727,0.003454303,0.001517198,0.006572876,0.00004612478,0.001459725,0.00006286125,0.0001181844,0.001833877,0.9817436,0.001932214],"study_design_scores_gemma":[0.004358693,0.0005817935,0.0009376627,0.001065225,0.004892754,0.00003480973,0.0009579309,0.00009379548,0.001490783,0.01840834,0.9634743,0.003703854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001953025,0.014621,0.01357571,0.0002299549,0.002998132,0.004490798,0.9595167,0.001955476,0.0006592073],"genre_scores_gemma":[0.01539131,0.0005044309,0.02990171,0.0005837437,0.003695955,0.001902051,0.9411759,0.005588999,0.001255852],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.116301,"threshold_uncertainty_score":0.999544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08723472921159231,"score_gpt":0.3522365012281059,"score_spread":0.2650017720165136,"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."}}