{"id":"W7034482771","doi":"","title":"Translating climate change: Anthropology and the travelling idea of climate change","year":2018,"lang":"en","type":"article","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Cold winter; Reading (process); Extreme Cold; Cold weather; Cold climate","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":[0.008871535,0.0008133236,0.0005981438,0.001819339,0.01181045,0.01206006,0.001431037,0.005297621,0.0101498],"category_scores_gemma":[0.008722616,0.0003174903,0.0003341431,0.002343425,0.0713647,0.0162871,0.006131405,0.007593092,0.00113513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01088957,"about_ca_system_score_gemma":0.009377712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06130379,"about_ca_topic_score_gemma":0.05651123,"domain_scores_codex":[0.993978,0.004691842,0.00008806525,0.0002899906,0.0003134757,0.0006385311],"domain_scores_gemma":[0.9932312,0.00478902,0.0002932033,0.0004471204,0.0004986286,0.0007409085],"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":[0.00004000315,0.00004386135,0.001551221,0.0002487196,0.00001487505,0.0005634004,0.4049947,0.0002184505,0.0001221957,0.4967499,0.06608243,0.02937029],"study_design_scores_gemma":[0.00001558099,0.00002897549,0.001709425,0.0007299036,0.000007880114,0.0001875975,0.3025931,0.0001607222,0.0000688673,0.2133813,0.4810887,0.00002794004],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03139457,0.06212255,0.004009172,0.6223264,0.009610449,0.00004724207,0.0001171361,0.00008496017,0.2702875],"genre_scores_gemma":[0.8449768,0.04346919,0.002153005,0.05407233,0.00549857,0.0001307761,0.0001393678,0.0002688454,0.04929109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06130379,"threshold_uncertainty_score":0.1218939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06688385317287482,"score_gpt":0.3003067981065169,"score_spread":0.2334229449336421,"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."}}