{"id":"W6956898869","doi":"10.60510/awfwi02762","title":"IGSN AWFWI02762 (EN22058-T06): Individual Sample (Biology, plant - Picea mariana) from Yukon River Lowlands, Yukon, 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); Hydrology (agriculture); Vegetation (pathology); Precipitation","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":[],"consensus_categories":[],"category_scores_codex":[0.0008640297,0.001680642,0.001507788,0.008152049,0.002228443,0.00190741,0.002388072,0.00152523,0.113173],"category_scores_gemma":[0.002517131,0.0008869139,0.0007508035,0.01793816,0.0005531284,0.0009321145,0.002207024,0.0008391784,0.0998688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002582018,"about_ca_system_score_gemma":0.007047199,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2396072,"about_ca_topic_score_gemma":0.3565236,"domain_scores_codex":[0.998907,0.00005077724,0.0001208967,0.0003358921,0.0002521318,0.0003334217],"domain_scores_gemma":[0.9982982,0.0001248205,0.000164993,0.0004647755,0.000758594,0.0001886817],"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":[0.0003724257,0.00004579032,0.0129167,0.00186851,0.0001398867,0.0002617217,0.001122205,0.0003140897,0.00511559,0.001965666,0.944804,0.03107345],"study_design_scores_gemma":[0.000047506,0.00001653272,0.0529893,0.0002180983,0.0001032945,0.0001464413,0.0004651953,0.00007393408,0.0008982601,0.0005424065,0.9444652,0.00003362821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002396462,0.0001158168,0.000655676,0.00002828166,0.00003630967,0.00005388585,0.9881784,0.0006062991,0.007928752],"genre_scores_gemma":[0.002714022,0.0001014225,0.001182759,0.00003893038,0.000006175167,0.0001669575,0.9891819,0.0005904123,0.006017391],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7603928,"threshold_uncertainty_score":0.4764251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0317685664244963,"score_gpt":0.2619370647186916,"score_spread":0.2301684982941953,"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."}}