{"id":"W6930407108","doi":"10.5281/zenodo.11609433","title":"Diagnostic Properties of River Flood Deposit Sediment Collected Annually from 2011 to 2023 at Ten Sites across a Water Reservoir Catchment Contaminated after the Fukushima Daiichi Nuclear Accident Radiocesium Fallout (Mano Dam)","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bone Metabolism and Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas","funders":"","keywords":"Hydrology (agriculture); Sediment; Flood myth; Flash flood; Drainage basin; Erosion; Deposition (geology); Surface runoff; Floodplain","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008026042,0.000772058,0.0005557779,0.002333062,0.0004443727,0.0008562861,0.001094949,0.0009190229,0.007974079],"category_scores_gemma":[0.002793403,0.0002988846,0.000625646,0.003711533,0.0002388524,0.0004256101,0.00123396,0.0005108351,0.006828019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009560525,"about_ca_system_score_gemma":0.001223999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02526024,"about_ca_topic_score_gemma":0.04138046,"domain_scores_codex":[0.9994784,0.00006572352,0.0000964408,0.0001604092,0.0001104813,0.00008859464],"domain_scores_gemma":[0.9987178,0.0002998707,0.0002116529,0.0002171863,0.0004231689,0.0001304187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000578023,0.0001360374,0.0780683,0.001838257,0.0001835228,0.0003404582,0.0002175337,0.004171238,0.001887364,0.0008499658,0.8894587,0.02227057],"study_design_scores_gemma":[0.0004190114,0.0001167442,0.3566509,0.0005802645,0.0001146584,0.0003569962,0.0007946045,0.004867315,0.002823483,0.001182349,0.6319817,0.000111962],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005389734,0.00004331004,0.0000883555,0.00006863027,0.00001291336,0.00001676085,0.9937158,0.0001694173,0.0004949901],"genre_scores_gemma":[0.004104237,0.00002778384,0.0003043031,0.00001684998,0.000003605809,0.00005247259,0.9951617,0.00001700011,0.0003120273],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02526024,"threshold_uncertainty_score":0.05022639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242113322877013,"score_gpt":0.2238086306538607,"score_spread":0.2113874974250905,"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."}}