{"id":"W6944393174","doi":"10.17632/ksd5kcdfnh.1","title":"Data for: An investigation of 129I from Regional Nuclear Fuel Reprocessing in the Terrestrial Sediments of Lake Ontario","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spent nuclear fuel; Nuclear reprocessing; Nuclear fuel; Radioactive waste; Sediment; Sedimentary rock","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":[0.000845154,0.001755508,0.001000673,0.003481918,0.001333721,0.001660728,0.00216507,0.001150717,0.05152113],"category_scores_gemma":[0.003630142,0.0009556527,0.001356443,0.0107051,0.0004592924,0.0008302989,0.001380347,0.0008112955,0.02116571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009873504,"about_ca_system_score_gemma":0.01777185,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9245042,"about_ca_topic_score_gemma":0.9567503,"domain_scores_codex":[0.9992914,0.000034753,0.00006582626,0.0001175374,0.0003174487,0.0001729762],"domain_scores_gemma":[0.9957672,0.0002570943,0.0005452881,0.0004134192,0.002656049,0.0003609662],"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":[0.0001159507,0.0000168544,0.005964421,0.001696189,0.000115719,0.00004013083,0.0001034746,0.0007313118,0.0002299708,0.0005322886,0.986498,0.003955601],"study_design_scores_gemma":[0.0003500755,0.00001382587,0.06258479,0.0004098816,0.000101679,0.00002582431,0.00013225,0.0005134119,0.0005966239,0.0004162609,0.9348011,0.00005419094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001897324,0.000026169,0.00001911478,0.00002436285,0.000004998768,0.000005548435,0.9991143,0.00006605605,0.0005497765],"genre_scores_gemma":[0.001462644,0.00009519784,0.0002556356,0.00002283733,0.00000475653,0.00005356989,0.9958808,0.00005867795,0.002165907],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07549584,"threshold_uncertainty_score":0.1723554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2904115385065436,"score_gpt":0.344745240355358,"score_spread":0.05433370184881436,"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."}}