{"id":"W6956868646","doi":"10.60510/awfwi03699","title":"IGSN AWFWI03699 (EN22065-TG16): Individual Sample (Biology, leaf for DNA analyses) of sample EN22065-T16 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":[0.001501213,0.002411068,0.004821001,0.001591425,0.0005665174,0.001386085,0.003972996,0.0032382,0.01250867],"category_scores_gemma":[0.006569779,0.003520824,0.00225686,0.002212282,0.00159666,0.0004384007,0.001724435,0.001824312,0.0008976615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337305,"about_ca_system_score_gemma":0.001732314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975209,"about_ca_topic_score_gemma":0.9986795,"domain_scores_codex":[0.9861651,0.0007717411,0.003278255,0.004723466,0.001770813,0.003290598],"domain_scores_gemma":[0.9858242,0.005256291,0.002708283,0.004195483,0.000940868,0.001074834],"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":[0.0001665609,0.0007213942,0.01525175,0.001133884,0.005653508,0.00008145878,0.0007819563,0.00004833482,0.00006749287,0.0001120874,0.9713693,0.004612279],"study_design_scores_gemma":[0.003682072,0.0005539597,0.001983987,0.001328218,0.00353927,0.0000787258,0.0009762213,0.00008919371,0.0002667167,0.01353431,0.9704148,0.003552476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007126176,0.01075787,0.008487197,0.00009281348,0.002012227,0.004253775,0.9650256,0.001770171,0.0004741605],"genre_scores_gemma":[0.01938311,0.0003373879,0.01604211,0.0004260759,0.002862769,0.001762294,0.9506111,0.005032239,0.00354288],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01441447,"threshold_uncertainty_score":0.9998803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04789227591525322,"score_gpt":0.3090920751895002,"score_spread":0.261199799274247,"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."}}