{"id":"W6975385032","doi":"10.60510/awfwi03775","title":"IGSN AWFWI03775 (EN22071-TG21): Individual Sample (Biology, leaf for DNA analyses) of sample EN22071-T21 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":[0.001435649,0.002147947,0.00459493,0.00147984,0.0004529398,0.001109094,0.003270247,0.0031168,0.01506227],"category_scores_gemma":[0.004500199,0.003086119,0.002193583,0.001963506,0.00195782,0.0004652294,0.001544799,0.001611244,0.0005380019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007751404,"about_ca_system_score_gemma":0.001219397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956168,"about_ca_topic_score_gemma":0.9871419,"domain_scores_codex":[0.9876187,0.0005879093,0.002860054,0.004325336,0.001572868,0.003035083],"domain_scores_gemma":[0.9877136,0.004722363,0.002317331,0.003602771,0.0006457641,0.0009981614],"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":[0.0001712809,0.000583836,0.01487354,0.001125329,0.004738485,0.00008349333,0.0008101449,0.00001859224,0.00003589478,0.0001165535,0.9735674,0.003875494],"study_design_scores_gemma":[0.004446893,0.0005700332,0.003539147,0.00159366,0.004098141,0.00007965345,0.0005683154,0.0001387261,0.000340421,0.01492101,0.9663869,0.003317174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006432977,0.01004748,0.0128321,0.00005020288,0.002515738,0.003900222,0.9622763,0.001403601,0.0005413312],"genre_scores_gemma":[0.02421904,0.0004805441,0.02545927,0.000346395,0.002716124,0.001411637,0.9381744,0.004327288,0.002865318],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02410196,"threshold_uncertainty_score":0.9999279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05809616170499327,"score_gpt":0.31494784941534,"score_spread":0.2568516877103468,"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."}}