{"id":"W6900741472","doi":"10.60510/awfwi02506","title":"IGSN AWFWI02506 (EN22032-T11): Individual Sample (Biology, plant - Alnus crispa) from Richardson Mountains, Northwest Territories, 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)","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0009380498,0.00309024,0.003008668,0.002045247,0.0004054457,0.0007909168,0.003401132,0.003154584,0.006986294],"category_scores_gemma":[0.001590253,0.00311458,0.0008750218,0.001384113,0.001133117,0.0003792229,0.001859172,0.002686263,0.003186705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613811,"about_ca_system_score_gemma":0.001143804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970327,"about_ca_topic_score_gemma":0.993863,"domain_scores_codex":[0.9886544,0.0006818902,0.001911043,0.004089555,0.001693422,0.002969645],"domain_scores_gemma":[0.9915963,0.001796209,0.001352635,0.003880975,0.0002428453,0.001131057],"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":[0.0001485572,0.0003653517,0.007317495,0.0004314414,0.002278897,0.0004331337,0.001585677,0.000005634799,0.000007837762,0.0009407867,0.9858075,0.0006777021],"study_design_scores_gemma":[0.001580842,0.0002896911,0.00175303,0.0008069326,0.001403295,0.0001257947,0.0006173422,0.00002096248,0.0001493706,0.002639412,0.9873754,0.003237866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006956469,0.01226253,0.0008207222,0.0002434404,0.007708218,0.00196705,0.9723788,0.003280893,0.0006426696],"genre_scores_gemma":[0.004471098,0.0004331858,0.005055503,0.000570898,0.008327035,0.0009118991,0.9738339,0.005323294,0.001073229],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01182934,"threshold_uncertainty_score":0.9996146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02782580050412297,"score_gpt":0.2734007944818051,"score_spread":0.2455749939776821,"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."}}