{"id":"W6975781671","doi":"10.60510/awfwi03720","title":"IGSN AWFWI03720 (EN22068-TG02): Individual Sample (Biology, leaf for DNA analyses) of sample EN22068-T02 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":[0.001438211,0.00235592,0.004727667,0.001538845,0.0005509177,0.00139063,0.003894896,0.00317338,0.01300562],"category_scores_gemma":[0.005943496,0.003470013,0.002192189,0.002183243,0.001593391,0.0004235364,0.001691466,0.001796815,0.0008818586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001233931,"about_ca_system_score_gemma":0.001636026,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973677,"about_ca_topic_score_gemma":0.9987654,"domain_scores_codex":[0.9864846,0.0007478745,0.003210581,0.004626859,0.001732743,0.003197287],"domain_scores_gemma":[0.9862604,0.005122285,0.002654108,0.004067808,0.0008393636,0.001056002],"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":[0.0001582432,0.0006812208,0.01434082,0.001099782,0.005478201,0.00007652958,0.0007665891,0.00004416773,0.00005854225,0.00009177267,0.973638,0.003566143],"study_design_scores_gemma":[0.003633529,0.0005584011,0.002035511,0.001276846,0.003602507,0.00007689941,0.0009970218,0.00008990101,0.0002630517,0.01129538,0.9726478,0.003523118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008684896,0.01127416,0.009006498,0.00008418147,0.001961695,0.004134559,0.9627801,0.001749535,0.0003243926],"genre_scores_gemma":[0.01774539,0.0003301324,0.01696314,0.0004853742,0.002827832,0.001713518,0.9515375,0.005570546,0.002826497],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01230531,"threshold_uncertainty_score":0.999896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04926686967903637,"score_gpt":0.3090712895744317,"score_spread":0.2598044198953953,"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."}}