{"id":"W6919432581","doi":"10.60510/awfwi02872","title":"IGSN AWFWI02872 (EN22065-T24): Individual Sample (Biology, plant - Betula glandulosa) 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); Vegetation (pathology); Population","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","research_integrity","insufficient_payload"],"category_scores_codex":[0.0008855022,0.001992533,0.002945493,0.0008844261,0.0005127405,0.002298163,0.003129087,0.003071853,0.01448672],"category_scores_gemma":[0.00144551,0.00296045,0.0009503755,0.001199671,0.00102857,0.0003086506,0.001777531,0.002442164,0.001991013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112651,"about_ca_system_score_gemma":0.001142958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9995126,"about_ca_topic_score_gemma":0.9998769,"domain_scores_codex":[0.9890429,0.0006839584,0.001881765,0.00393397,0.001571793,0.002885596],"domain_scores_gemma":[0.9928129,0.001497678,0.001256832,0.003050641,0.0002535447,0.001128379],"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":[0.00006001967,0.000377001,0.02719502,0.000397379,0.002444518,0.0007297542,0.0007263938,0.000006360027,0.000001658746,0.00005047187,0.9651413,0.002870118],"study_design_scores_gemma":[0.00232695,0.0002472396,0.004961007,0.001481154,0.001273448,0.0003721491,0.0004811094,0.00002616507,0.00001054353,0.005120709,0.9805007,0.003198839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01114667,0.01151731,0.0005035368,0.00008928385,0.002732637,0.002212325,0.968375,0.002918852,0.0005043423],"genre_scores_gemma":[0.008392043,0.0004824634,0.002627614,0.0005779022,0.003904896,0.0008417681,0.9754123,0.005386659,0.002374321],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02223402,"threshold_uncertainty_score":0.9998592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048478185768209,"score_gpt":0.2436992192480514,"score_spread":0.2232144373903693,"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."}}