{"id":"W6900529125","doi":"10.60510/awfwi02758","title":"IGSN AWFWI02758 (EN22058-T02): 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008193404,0.001701737,0.001512266,0.007837988,0.00192419,0.001762558,0.002302219,0.001375996,0.1087344],"category_scores_gemma":[0.002360611,0.0008886639,0.0007414655,0.0183852,0.0004815058,0.0008747573,0.001901239,0.0008089507,0.09433294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002354106,"about_ca_system_score_gemma":0.0067371,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.259554,"about_ca_topic_score_gemma":0.3569828,"domain_scores_codex":[0.9990371,0.00004507932,0.0001100445,0.0002927665,0.0002150136,0.0003000527],"domain_scores_gemma":[0.9983342,0.0001220389,0.0001663151,0.0004464896,0.0007414787,0.0001895779],"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":[0.0003296212,0.0000399345,0.01118262,0.001579515,0.0001232286,0.0001925056,0.0007448767,0.0002900003,0.003625294,0.001500038,0.9549252,0.02546722],"study_design_scores_gemma":[0.00006152905,0.00001812788,0.05931964,0.000219581,0.0001115491,0.0001374728,0.000380776,0.00009627658,0.0008610135,0.0005481645,0.9382123,0.00003349141],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001686792,0.00008508639,0.0004388027,0.00002034471,0.00002688521,0.00003932946,0.991727,0.0004804162,0.005495383],"genre_scores_gemma":[0.002064777,0.00008168494,0.0008594669,0.0000292656,0.000005060335,0.000123702,0.9918724,0.0004404793,0.004523094],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8912656,"threshold_uncertainty_score":0.5160865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03275743587394942,"score_gpt":0.2679412032642935,"score_spread":0.2351837673903441,"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."}}