{"id":"W6975375182","doi":"10.60510/awfwi03756","title":"IGSN AWFWI03756 (EN22071-TG01): Individual Sample (Biology, leaf for DNA analyses) of sample EN22071-T01 from Fort Nelson River lowlands, 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"],"category_scores_codex":[0.001479961,0.002161104,0.004563178,0.001518087,0.0004671108,0.001137965,0.003291506,0.00310535,0.0154282],"category_scores_gemma":[0.004811341,0.003105409,0.002244296,0.001976294,0.002013318,0.0004662336,0.001519578,0.001614535,0.0005728914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008073074,"about_ca_system_score_gemma":0.001306871,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956301,"about_ca_topic_score_gemma":0.9877694,"domain_scores_codex":[0.9875102,0.0005884505,0.002878684,0.004402846,0.001559104,0.003060706],"domain_scores_gemma":[0.987604,0.004775541,0.002296595,0.003670886,0.0006366514,0.001016327],"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":[0.0001731116,0.000607062,0.01403652,0.001057477,0.004747669,0.00007703055,0.0007808623,0.00001612556,0.00003539905,0.0001114912,0.9745995,0.003757681],"study_design_scores_gemma":[0.004339581,0.0005926706,0.003367315,0.001459916,0.004034426,0.00008019889,0.0004970407,0.0001189255,0.0003044312,0.01633037,0.9656208,0.003254358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008362143,0.008297511,0.01028303,0.0000590189,0.002755087,0.004003907,0.9643092,0.001443682,0.0004863904],"genre_scores_gemma":[0.0196819,0.0004218097,0.02576333,0.0003633027,0.002961216,0.001391669,0.9417869,0.004379975,0.003249909],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02252234,"threshold_uncertainty_score":0.999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05863320609039255,"score_gpt":0.3153544904654926,"score_spread":0.2567212843751,"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."}}