{"id":"W6919130104","doi":"10.60510/awfwi03721","title":"IGSN AWFWI03721 (EN22068-TG03): Individual Sample (Biology, leaf for DNA analyses) of sample EN22068-T03 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"],"category_scores_codex":[0.001472275,0.002354443,0.00474061,0.001538725,0.0005524941,0.001401216,0.00385,0.003183237,0.01272494],"category_scores_gemma":[0.006154894,0.003469686,0.002191015,0.002210679,0.001589277,0.0004234228,0.001675314,0.001791975,0.000718523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248436,"about_ca_system_score_gemma":0.001739013,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9976456,"about_ca_topic_score_gemma":0.9988136,"domain_scores_codex":[0.9864466,0.0007635992,0.003212719,0.004638702,0.001729227,0.003209163],"domain_scores_gemma":[0.986267,0.005031604,0.00265147,0.004132303,0.0008675556,0.001050117],"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":[0.000155241,0.0007093703,0.01656579,0.001136951,0.005666664,0.00007985531,0.0007920937,0.00004493938,0.00005976932,0.00009898667,0.9701026,0.0045877],"study_design_scores_gemma":[0.003681348,0.0005529705,0.002087469,0.001323224,0.003648995,0.00008072586,0.001028928,0.00008317633,0.0002661299,0.01308313,0.9705957,0.00356816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009595857,0.01130488,0.008762693,0.00007364592,0.00197619,0.004131691,0.9620813,0.001709948,0.0003638347],"genre_scores_gemma":[0.01852051,0.0003193623,0.01571769,0.0004231238,0.00274663,0.001729748,0.9520112,0.00561738,0.002914393],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01447832,"threshold_uncertainty_score":0.9996354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04858906207490596,"score_gpt":0.3094989488750864,"score_spread":0.2609098868001805,"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."}}