{"id":"W6900446656","doi":"10.60510/awfwi03711","title":"IGSN AWFWI03711 (EN22065-TG28): Individual Sample (Biology, leaf for DNA analyses) of sample EN22065-T28 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001147145,0.001884785,0.001497259,0.007677999,0.004170841,0.002083255,0.003335269,0.001519898,0.1810732],"category_scores_gemma":[0.002307594,0.001151248,0.0005359562,0.01434436,0.0006583234,0.0006531585,0.001632025,0.001285506,0.1347398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004178643,"about_ca_system_score_gemma":0.009283994,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5217639,"about_ca_topic_score_gemma":0.7832858,"domain_scores_codex":[0.9989417,0.00004388149,0.00006041876,0.0003376803,0.0003334919,0.0002828779],"domain_scores_gemma":[0.998255,0.0001467675,0.0001339469,0.0004188289,0.0006919501,0.0003534681],"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":[0.0002346069,0.0000509927,0.004298901,0.0005906562,0.00004229661,0.0001754559,0.0005782062,0.0001930711,0.005328499,0.001525732,0.9571973,0.02978444],"study_design_scores_gemma":[0.00007248317,0.00001509448,0.02802591,0.0002379276,0.00006073142,0.0001526627,0.0002207103,0.0001145061,0.002018695,0.0007673679,0.9682741,0.0000398196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003262507,0.000120152,0.001644059,0.00007077657,0.00006180925,0.0001321922,0.9622027,0.001766247,0.03073964],"genre_scores_gemma":[0.003759261,0.0001317807,0.003337762,0.000114689,0.00001578633,0.0003220778,0.9660955,0.001958496,0.02426471],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8189268,"threshold_uncertainty_score":0.962105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04898828344491592,"score_gpt":0.308850507492175,"score_spread":0.2598622240472591,"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."}}