{"id":"W2739072010","doi":"","title":"What a Difference a p(TA) Makes. Policy-Makers, Experts and the Public in Decision-Making on Risky Technologies","year":2012,"lang":"en","type":"article","venue":"Institutional Repository (IHS Vienna)","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"European commission; Political science; Technology assessment; Commission; Uncertainty; Citizen journalism; Public administration; Impact assessment; Emerging technologies; Business; European union; Law; Economic policy; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.03311641,0.0004695553,0.000996856,0.002475834,0.006164716,0.02302663,0.001475214,0.01345371,0.0133658],"category_scores_gemma":[0.07049881,0.0004753352,0.0009482734,0.002700763,0.02346932,0.02890293,0.005239224,0.006912212,0.002954173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00502688,"about_ca_system_score_gemma":0.01000101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004546168,"about_ca_topic_score_gemma":0.004006014,"domain_scores_codex":[0.9598009,0.02839353,0.001221421,0.003095924,0.005069505,0.002418808],"domain_scores_gemma":[0.9490976,0.03854918,0.002471104,0.002983806,0.00430745,0.00259091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001153621,0.00008747331,0.00295954,0.0002423184,0.00006592878,0.0003269858,0.007614998,0.0008065277,0.0003226231,0.9164591,0.02706252,0.04393657],"study_design_scores_gemma":[0.00003241553,0.00005871643,0.001406354,0.0004744032,0.00004430856,0.0002098561,0.01468942,0.000680967,0.00047732,0.9093192,0.0725662,0.00004085599],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03478735,0.007156938,0.02020621,0.5996324,0.002911714,0.00007554644,0.0001880368,0.0001035847,0.3349383],"genre_scores_gemma":[0.9379824,0.005698364,0.008860893,0.03054951,0.001023471,0.0001554273,0.00009181879,0.0001072943,0.0155309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9938353,"threshold_uncertainty_score":0.1751384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534425989009338,"score_gpt":0.2593685689296897,"score_spread":0.2440243090395963,"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."}}