{"id":"W2068172926","doi":"10.1080/01900692.2014.907313","title":"Addressing the Challenges of Adaptation to Climate Change Policy: Integrating Public Administration and Public Policy Studies","year":2014,"lang":"en","type":"article","venue":"International Journal of Public Administration","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptation (eye); Public administration; Climate change; Public policy; Political science; Administration (probate law); Climate change adaptation; Policy studies; Public economics; Environmental resource management; Business; Environmental planning; Economics; Psychology; Geography","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":[0.0471503,0.0006420519,0.001580533,0.008052814,0.006192922,0.0202883,0.002336554,0.004377365,0.003243555],"category_scores_gemma":[0.04760295,0.000860719,0.0008417175,0.01018593,0.0149015,0.01889112,0.009668093,0.006760232,0.0002345071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02034475,"about_ca_system_score_gemma":0.06943861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04974409,"about_ca_topic_score_gemma":0.0502676,"domain_scores_codex":[0.970943,0.02326495,0.0004924221,0.0007138915,0.002441855,0.002143826],"domain_scores_gemma":[0.9254333,0.06058923,0.003880309,0.002379184,0.004523609,0.003194422],"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":[0.0001297642,0.001996571,0.0830409,0.002475876,0.0003824491,0.0005893893,0.04835308,0.02161431,0.0005989623,0.565608,0.00981702,0.2653938],"study_design_scores_gemma":[0.00005501041,0.0003559051,0.05771695,0.005651338,0.0002141094,0.0002225817,0.2820348,0.02264788,0.0008563043,0.4589941,0.1710722,0.0001787294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3035497,0.07362228,0.03744326,0.4259629,0.001214367,0.0004434386,0.0001869937,0.0001761575,0.157401],"genre_scores_gemma":[0.9651603,0.02091634,0.008114119,0.003985263,0.0003970722,0.0001860175,0.00003464805,0.00002102637,0.001185233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04974409,"threshold_uncertainty_score":0.2493576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4742626201412313,"score_gpt":0.4837248970561699,"score_spread":0.009462276914938617,"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."}}