{"id":"W6919147955","doi":"10.60510/awfwi03702","title":"IGSN AWFWI03702 (EN22065-TG19): Individual Sample (Biology, leaf for DNA analyses) of sample EN22065-T19 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":[0.001479902,0.002359932,0.00474389,0.001564135,0.0005423555,0.001369698,0.003902649,0.003184158,0.01276533],"category_scores_gemma":[0.006205789,0.003473798,0.002279268,0.002188256,0.001533493,0.0004229872,0.001688626,0.001792057,0.0009072952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001257104,"about_ca_system_score_gemma":0.001626802,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975868,"about_ca_topic_score_gemma":0.9986995,"domain_scores_codex":[0.9864002,0.0007571429,0.003234701,0.004662019,0.001734806,0.003211082],"domain_scores_gemma":[0.9858726,0.005458154,0.002671396,0.004134521,0.0008405547,0.001022772],"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":[0.0001586735,0.0007112892,0.01873695,0.001179527,0.005732927,0.00007790575,0.0007896472,0.00004717696,0.00006269773,0.0001112307,0.9677727,0.004619312],"study_design_scores_gemma":[0.003768323,0.0005727446,0.00241502,0.001378922,0.00369464,0.00007717205,0.0009846311,0.00009246342,0.0002638359,0.01402337,0.9690856,0.00364331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009142198,0.01109565,0.00926702,0.0000783804,0.001949559,0.004259109,0.9620811,0.001741965,0.000384992],"genre_scores_gemma":[0.01933452,0.0003301883,0.01743461,0.0004219532,0.00268492,0.001723283,0.9495345,0.005566538,0.002969502],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01632193,"threshold_uncertainty_score":0.9998706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04908420448986753,"score_gpt":0.3094976561727237,"score_spread":0.2604134516828561,"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."}}