{"id":"W6930746914","doi":"10.5281/zenodo.10836974","title":"Organic Matter, Geochemical, Visible Spectrocolorimetric Properties, Radiocesium Properties, and Grain Size of Potential Source Material, Target Sediment Core Layers and Laboratory Mixtures for Conducting Sediment Fingerprinting Approaches in the Mano Dam Reservoir (Hayama Lake) Catchment, Fukushima Prefecture, Japan","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas","funders":"","keywords":"Sediment; Soil water; Hydrology (agriculture); Channel (broadcasting); Pollution; Human decontamination; Topsoil; Grain size; Soil classification","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005289482,0.0004257253,0.0004409088,0.0003108284,0.0004578543,0.0005292458,0.0009390761,0.0002749811,0.0003600742],"category_scores_gemma":[0.0006117282,0.0003424247,0.00005060443,0.0006719657,0.0003087454,0.0001563578,0.001138445,0.0007426957,0.00005846315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002452492,"about_ca_system_score_gemma":0.000007602136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002617727,"about_ca_topic_score_gemma":0.000002075948,"domain_scores_codex":[0.9977233,0.0001408159,0.0005130295,0.0006760293,0.0003838587,0.0005629032],"domain_scores_gemma":[0.9989894,0.00006048322,0.0001802155,0.0005436903,0.0001363332,0.00008989582],"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":[0.00009548033,0.00008577734,0.000003388557,0.003255073,0.0001343704,0.000007057915,0.0004362846,0.000564686,0.4141053,0.000007515006,0.5810423,0.0002627131],"study_design_scores_gemma":[0.0005279318,0.0001996916,0.00001026701,0.0002819278,0.00009633211,0.00006160761,0.0009543804,0.0004869862,0.2996169,0.00008781315,0.6972377,0.0004384278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6567703,0.006315483,0.0002801968,0.0008851293,0.0004603188,0.005549727,0.3277158,0.001723609,0.0002993426],"genre_scores_gemma":[0.7015967,0.001123055,0.002814792,0.0001668196,0.0006297887,0.00001590511,0.2907709,0.002707645,0.0001743601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1161954,"threshold_uncertainty_score":0.9999028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04274594776771141,"score_gpt":0.2220451500038041,"score_spread":0.1792992022360927,"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."}}