{"id":"W6900684980","doi":"10.60510/awfwi03778","title":"IGSN AWFWI03778 (EN22071-TG24): Individual Sample (Biology, leaf for DNA analyses) of sample EN22071-T24 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":[0.001447645,0.002174688,0.004575699,0.001535224,0.0004526261,0.001109643,0.003272713,0.003108691,0.01521132],"category_scores_gemma":[0.004591059,0.003119486,0.002228691,0.001976095,0.00194683,0.000461621,0.001553447,0.001638794,0.0004872307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007909116,"about_ca_system_score_gemma":0.001242797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946194,"about_ca_topic_score_gemma":0.9859342,"domain_scores_codex":[0.9875017,0.0005823442,0.002898404,0.004364687,0.0015872,0.003065609],"domain_scores_gemma":[0.9876972,0.004784001,0.002279572,0.003609019,0.0006201483,0.001010066],"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":[0.0001781131,0.0005803718,0.01601427,0.001105828,0.00481592,0.0000806768,0.0007669781,0.00001725866,0.00003312396,0.0001284198,0.9725697,0.003709342],"study_design_scores_gemma":[0.004332017,0.0005968158,0.003563057,0.001503599,0.004014797,0.0000804602,0.0004543465,0.00013027,0.000294047,0.01619639,0.9656115,0.003222761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008044542,0.008305836,0.01228374,0.0000549068,0.002634363,0.004013828,0.9626663,0.001477511,0.0005189344],"genre_scores_gemma":[0.02031312,0.0005097017,0.02648971,0.0003675781,0.002798263,0.001394952,0.940609,0.004387977,0.003129696],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02205733,"threshold_uncertainty_score":0.9999273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0583197568075526,"score_gpt":0.3153754353080416,"score_spread":0.257055678500489,"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."}}