{"id":"W6900610764","doi":"10.60510/awfwi02765","title":"IGSN AWFWI02765 (EN22058-T09): 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001128251,0.002893808,0.002979772,0.002248999,0.0003348883,0.0006081362,0.003275379,0.00341109,0.01889089],"category_scores_gemma":[0.001486349,0.002837108,0.0009858214,0.001393474,0.001464731,0.0003528539,0.002037861,0.002648043,0.01106499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008381663,"about_ca_system_score_gemma":0.0009010799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9533054,"about_ca_topic_score_gemma":0.8026067,"domain_scores_codex":[0.9889531,0.0007713292,0.001784887,0.004104625,0.001498654,0.002887367],"domain_scores_gemma":[0.9913484,0.002123482,0.001330234,0.003885393,0.0001990868,0.001113395],"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":[0.0002153298,0.0003200971,0.002806945,0.0004071305,0.002834506,0.000447757,0.00163471,0.000008028131,0.000006381896,0.001469193,0.988883,0.0009668999],"study_design_scores_gemma":[0.002427811,0.0002453885,0.00151703,0.0009720626,0.001746547,0.0001208839,0.0003046022,0.00007666399,0.00006274308,0.009214881,0.9801666,0.003144757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007940777,0.009207133,0.001617311,0.0002590092,0.004814966,0.001951135,0.9758741,0.00273906,0.002743241],"genre_scores_gemma":[0.003723721,0.0004139678,0.007564684,0.000781724,0.004703923,0.0005046338,0.9736649,0.004864478,0.003777911],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1506986,"threshold_uncertainty_score":0.9996529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03173811005509954,"score_gpt":0.2619373041042262,"score_spread":0.2301991940491267,"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."}}