{"id":"W7069325055","doi":"","title":"Trace Evidence","year":2016,"lang":"en","type":"other","venue":"Goldsmiths (University of London)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nuclear power; Nuclear power plant; Nuclear decommissioning; Uranium; Biological dispersal; Plate tectonics; Radioactive waste; TRACE (psycholinguistics)","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":[0.009385096,0.0008037232,0.0007636073,0.008851294,0.004034731,0.01235291,0.003772134,0.004224729,0.3432712],"category_scores_gemma":[0.07652571,0.0006641188,0.0007564955,0.008567329,0.002404671,0.00954576,0.005190291,0.003076569,0.09748778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005505461,"about_ca_system_score_gemma":0.0121384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02142519,"about_ca_topic_score_gemma":0.02306934,"domain_scores_codex":[0.9880778,0.001979069,0.001039918,0.001806414,0.005955013,0.001141681],"domain_scores_gemma":[0.947764,0.01341775,0.00320417,0.008874535,0.02327779,0.003461769],"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":[0.0001919856,0.00005658958,0.004447264,0.0007352216,0.00004066726,0.0004745595,0.001163627,0.0001918663,0.000277759,0.1101188,0.7190598,0.1632419],"study_design_scores_gemma":[0.00001092869,0.00001518975,0.001084459,0.0005099539,0.00001237474,0.00017295,0.0005554961,0.0001083277,0.0002445053,0.007297654,0.9899732,0.00001509728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004212232,0.00287514,0.00953385,0.02325576,0.004280263,0.0004610244,0.03488712,0.001510182,0.9189844],"genre_scores_gemma":[0.1018087,0.006913943,0.01086506,0.01473947,0.00216558,0.0008245468,0.04714463,0.001910285,0.8136279],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3432712,"threshold_uncertainty_score":0.936744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03601129850101494,"score_gpt":0.1920510072249006,"score_spread":0.1560397087238857,"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."}}