{"id":"W6900427033","doi":"10.60510/awfwi03692","title":"IGSN AWFWI03692 (EN22065-TG09): Individual Sample (Biology, leaf for DNA analyses) of sample EN22065-T09 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":[0.001469532,0.00235838,0.004736746,0.001559562,0.000555896,0.001430088,0.003919371,0.003183355,0.01113294],"category_scores_gemma":[0.006077268,0.003471231,0.002208564,0.002187932,0.001561822,0.0004344006,0.001678704,0.001794642,0.0008426865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001247501,"about_ca_system_score_gemma":0.001695497,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981304,"about_ca_topic_score_gemma":0.9987555,"domain_scores_codex":[0.9864417,0.0007499185,0.003230724,0.004639336,0.001728749,0.00320954],"domain_scores_gemma":[0.9862087,0.005143987,0.002643864,0.004113943,0.0008396808,0.001049778],"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":[0.0001617553,0.0007247158,0.01700645,0.00114283,0.005635248,0.00007903895,0.0009421307,0.00004839592,0.00005735164,0.000099969,0.9694458,0.00465632],"study_design_scores_gemma":[0.003734886,0.0005877922,0.002815098,0.001346907,0.003743922,0.0000795618,0.001284183,0.00009000911,0.0002297874,0.01380581,0.9686193,0.003662714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01413063,0.0118296,0.00845091,0.00007369382,0.001981311,0.00410695,0.9573743,0.001724934,0.0003276653],"genre_scores_gemma":[0.0274739,0.0003395415,0.0154306,0.0004061331,0.002800778,0.001681852,0.9439592,0.005499726,0.002408267],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01419135,"threshold_uncertainty_score":0.9999353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04805529854699737,"score_gpt":0.3092345128980099,"score_spread":0.2611792143510125,"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."}}