{"id":"W6956974794","doi":"10.60510/awfwi03774","title":"IGSN AWFWI03774 (EN22071-TG20): Individual Sample (Biology, leaf for DNA analyses) of sample EN22071-T20 from Fort Nelson River lowlands, 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":[0.001451271,0.00216736,0.004587857,0.001511231,0.0004561784,0.001091862,0.003281346,0.003125329,0.01521486],"category_scores_gemma":[0.004695149,0.003113933,0.002245348,0.001968582,0.00197182,0.0004642358,0.001540795,0.001627283,0.0005862945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007996176,"about_ca_system_score_gemma":0.001234571,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955176,"about_ca_topic_score_gemma":0.9871356,"domain_scores_codex":[0.9875261,0.0005851642,0.002894229,0.004355509,0.001578173,0.003060818],"domain_scores_gemma":[0.9876279,0.004798819,0.002307376,0.003605113,0.0006330907,0.001027711],"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":[0.0001787255,0.0005683642,0.01495363,0.001264389,0.004737922,0.0000830692,0.0007647504,0.00001652901,0.00003041503,0.0001113647,0.9736241,0.003666815],"study_design_scores_gemma":[0.004392369,0.0005979837,0.003094035,0.001455605,0.003964885,0.00007977434,0.0004498569,0.0001375493,0.0002925565,0.01554648,0.9667594,0.0032295],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006428586,0.009545269,0.0122118,0.00005713918,0.002499,0.004064638,0.9632378,0.001468818,0.0004869565],"genre_scores_gemma":[0.01734672,0.0005148183,0.0269624,0.0003754201,0.002813851,0.001397993,0.9430969,0.004392523,0.003099368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02014088,"threshold_uncertainty_score":0.9999451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05771496288181423,"score_gpt":0.314625708031631,"score_spread":0.2569107451498168,"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."}}