{"id":"W6938149814","doi":"10.60510/awfwi03761","title":"IGSN AWFWI03761 (EN22071-TG07): Individual Sample (Biology, leaf for DNA analyses) of sample EN22071-T07 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":[0.001477009,0.002154864,0.004520904,0.001518905,0.000465413,0.001150442,0.003279815,0.003211117,0.01457282],"category_scores_gemma":[0.00444804,0.003082006,0.002230293,0.001963623,0.002052805,0.0004507188,0.00153756,0.00160615,0.0005801365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007924444,"about_ca_system_score_gemma":0.001241045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955747,"about_ca_topic_score_gemma":0.988382,"domain_scores_codex":[0.987575,0.0005782943,0.002874064,0.004353394,0.00157852,0.003040747],"domain_scores_gemma":[0.9877197,0.004745813,0.002292373,0.003596819,0.0006330265,0.001012319],"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":[0.0001819046,0.0005786042,0.01603789,0.00106809,0.004578823,0.0000781839,0.0007396829,0.00001464772,0.000035969,0.0001226565,0.972814,0.003749491],"study_design_scores_gemma":[0.004350134,0.0006132955,0.003794556,0.001433202,0.003998949,0.00007767522,0.0004706114,0.0001296242,0.0003122737,0.01845897,0.9630925,0.003268192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007667603,0.007651887,0.01174616,0.00006313098,0.002534742,0.004063503,0.96437,0.001446193,0.0004568301],"genre_scores_gemma":[0.02269952,0.0004190775,0.02579865,0.0003716057,0.002782963,0.001345267,0.9392772,0.004271008,0.00303471],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02509275,"threshold_uncertainty_score":0.9998865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05871572721329554,"score_gpt":0.3157990524568954,"score_spread":0.2570833252435999,"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."}}