{"id":"W6975885132","doi":"10.60510/awfwi02759","title":"IGSN AWFWI02759 (EN22058-T03): Individual Sample (Biology, plant - Picea glauca) 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":[0.0008196036,0.001704236,0.001509087,0.007956076,0.001936781,0.001788818,0.00233319,0.00140227,0.1138676],"category_scores_gemma":[0.002421751,0.0008921972,0.0007364093,0.01873619,0.0004935831,0.0008934073,0.001946581,0.0008105966,0.09858378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002391664,"about_ca_system_score_gemma":0.006821671,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.262017,"about_ca_topic_score_gemma":0.3614243,"domain_scores_codex":[0.9990259,0.00004492933,0.0001103186,0.0002944718,0.0002181605,0.0003061742],"domain_scores_gemma":[0.998287,0.0001274523,0.0001714723,0.0004480984,0.0007687911,0.0001971429],"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":[0.0003230788,0.00003921909,0.01081354,0.001540544,0.0001196537,0.0001878617,0.0007223772,0.0002834988,0.003432509,0.00146531,0.9560212,0.02505137],"study_design_scores_gemma":[0.00006179883,0.00001824601,0.0587065,0.0002255628,0.0001113246,0.0001382894,0.0003883331,0.00009563862,0.0008593656,0.0005624978,0.9387983,0.00003410318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001631745,0.00008474285,0.0004379606,0.00002041481,0.00002776009,0.00003905354,0.9915792,0.0004887141,0.005690552],"genre_scores_gemma":[0.002019958,0.00008147895,0.0008305599,0.00002993524,0.000005131949,0.0001189723,0.9919229,0.000445111,0.00454583],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.737983,"threshold_uncertainty_score":0.5209838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03267227650392999,"score_gpt":0.2679435466456384,"score_spread":0.2352712701417084,"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."}}