{"id":"W2043955509","doi":"10.1080/18811248.2004.9726445","title":"Text Mining Analysis of Public Comments Regarding High-level Radioactive Waste Disposal","year":2005,"lang":"en","type":"article","venue":"Journal of Nuclear Science and Technology","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nuclear Waste Management Organization","keywords":"Radioactive waste; High-level waste; Promotion (chess); Reliability (semiconductor); Risk perception; Order (exchange); Spent nuclear fuel; Risk communication; Perception; Business; Risk analysis (engineering); Waste management; Psychology; Engineering; Political science; Finance; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002892762,0.0003513632,0.0003857435,0.003977822,0.0005628413,0.000737946,0.0003173206,0.0004900304,0.00169894],"category_scores_gemma":[0.01549358,0.00008112491,0.0002449077,0.003249784,0.0003429524,0.0007522692,0.0003949342,0.0004164597,0.0005687911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005740627,"about_ca_system_score_gemma":0.000577007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009621493,"about_ca_topic_score_gemma":0.001445721,"domain_scores_codex":[0.9970891,0.001345328,0.0003955684,0.000263628,0.0007605579,0.0001457798],"domain_scores_gemma":[0.9574576,0.034113,0.002718011,0.0007007454,0.004748902,0.0002617414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003671278,0.001630801,0.1058045,0.00645538,0.0001586135,0.00387562,0.09185769,0.003307736,0.1428459,0.002151347,0.01969854,0.6185427],"study_design_scores_gemma":[0.0001833613,0.002677675,0.6348436,0.001182578,0.0002911096,0.002217902,0.1274135,0.07409202,0.09302943,0.00393853,0.05984296,0.0002872604],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782144,0.0001677526,0.009795572,0.0004513519,0.00008044054,0.0008905446,0.007125403,0.0002677253,0.003006725],"genre_scores_gemma":[0.9575015,0.0002879788,0.02905296,0.0001367196,0.000122211,0.001930569,0.008067342,0.00004610424,0.002854607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003977822,"threshold_uncertainty_score":0.01529855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04961713988059913,"score_gpt":0.3484674406529522,"score_spread":0.2988503007723531,"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."}}