{"id":"W6919503210","doi":"10.60510/awfwi03737","title":"IGSN AWFWI03737 (EN22069-TG16): Individual Sample (Biology, leaf for DNA analyses) of sample EN22069-T16 from Fort Nelson - T8 Area East, 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; Sample size determination; Sampling (signal processing)","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":[0.001658803,0.002460825,0.005124175,0.001723539,0.0005184688,0.001412455,0.003763427,0.003348987,0.01842108],"category_scores_gemma":[0.005983727,0.003582574,0.002519544,0.002293075,0.001833185,0.0005180674,0.001719701,0.001799616,0.0005159769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009659966,"about_ca_system_score_gemma":0.001547565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945691,"about_ca_topic_score_gemma":0.9927273,"domain_scores_codex":[0.9859248,0.0006467334,0.003338372,0.00486562,0.001764897,0.003459532],"domain_scores_gemma":[0.9864689,0.004700986,0.002724868,0.004188652,0.0007181944,0.001198378],"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":[0.0001831439,0.0006870669,0.006594745,0.001107527,0.005531359,0.00008187248,0.0006515448,0.00002370373,0.00006735472,0.000142772,0.9797441,0.005184753],"study_design_scores_gemma":[0.003918357,0.000671114,0.002108963,0.001870036,0.00461803,0.0001082996,0.000807027,0.000137538,0.0003012307,0.01613913,0.9657062,0.003614046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004843562,0.009133543,0.01477174,0.00008940469,0.002510618,0.00463864,0.96152,0.001788859,0.000703689],"genre_scores_gemma":[0.01771201,0.000256177,0.02508344,0.0004073127,0.002766566,0.002082415,0.943519,0.005111391,0.003061666],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01800092,"threshold_uncertainty_score":0.9996242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08297051645817542,"score_gpt":0.3166241803730791,"score_spread":0.2336536639149037,"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."}}