{"id":"W3048628518","doi":"10.1017/bpp.2020.37","title":"Beyond choice architecture: a building code for structuring climate risk management decisions","year":2020,"lang":"en","type":"article","venue":"Behavioural Public Policy","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Structuring; Context (archaeology); Risk analysis (engineering); Climate change; Risk management; Business; Architecture; Choice architecture; Process (computing); Environmental resource management; Climate risk; Management science; Computer science; Process management; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01177883,0.00119945,0.0009280873,0.003297197,0.003751712,0.009262082,0.003200111,0.003183836,0.02531193],"category_scores_gemma":[0.03263938,0.001436549,0.003289888,0.002689396,0.007774265,0.01144673,0.007733595,0.0041775,0.005511981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003010293,"about_ca_system_score_gemma":0.007924596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01581147,"about_ca_topic_score_gemma":0.0160716,"domain_scores_codex":[0.9934581,0.003321494,0.0007659947,0.0008002492,0.001193575,0.0004606486],"domain_scores_gemma":[0.9788068,0.01269719,0.0009105101,0.004170128,0.002431632,0.0009837331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001116389,0.0001570714,0.00301784,0.0001880247,0.00006482027,0.00029107,0.002254996,0.05740386,0.0010606,0.8372352,0.009526505,0.08868851],"study_design_scores_gemma":[0.00005016775,0.00005134294,0.0003412761,0.0003064568,0.00004483651,0.0001434177,0.0004649616,0.2431569,0.001551931,0.6661708,0.08764258,0.00007533765],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00418206,0.00007007461,0.9787171,0.001530161,0.00008401241,0.0004176408,0.0003206302,0.003152272,0.01152606],"genre_scores_gemma":[0.05534716,0.0001674782,0.9358371,0.0002693922,0.00005747989,0.0008290281,0.0008842316,0.0008115434,0.005796539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02531193,"threshold_uncertainty_score":0.0846768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03105465840375663,"score_gpt":0.3061847810773364,"score_spread":0.2751301226735798,"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."}}