{"id":"W2304175625","doi":"10.1038/nclimate2841","title":"Roadmap towards justice in urban climate adaptation research","year":2016,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":602,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Climate justice; Adaptation (eye); Disadvantaged; Vulnerability (computing); Equity (law); Climate change; Political science; Transformative learning; Environmental planning; Adaptive capacity; Environmental justice; Empirical research; Globe; Climate change adaptation; Environmental resource management; Sociology; Geography; Economics; Psychology","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":[0.1328346,0.001560281,0.006223808,0.01061036,0.01213012,0.02367475,0.007915488,0.03326373,0.0477141],"category_scores_gemma":[0.17447,0.001355213,0.003429557,0.00749477,0.03840017,0.04037523,0.02641283,0.03564544,0.004114151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01558165,"about_ca_system_score_gemma":0.1139662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02172685,"about_ca_topic_score_gemma":0.02478546,"domain_scores_codex":[0.9418133,0.03812701,0.003186361,0.0035989,0.007095896,0.006178617],"domain_scores_gemma":[0.5852762,0.3026069,0.006466391,0.0188746,0.05180517,0.0349707],"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":[0.0002574621,0.00062295,0.002651627,0.003559209,0.0002450676,0.0002385729,0.003141341,0.00300251,0.0003379548,0.7995173,0.09520937,0.09121669],"study_design_scores_gemma":[0.00007402694,0.0001588625,0.001575501,0.004543616,0.0000710307,0.00007400802,0.005762894,0.001319333,0.0001521959,0.8658178,0.1203401,0.0001106076],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002741465,0.05736895,0.02145136,0.8868147,0.006208056,0.0002544625,0.0003950047,0.0002268431,0.02453914],"genre_scores_gemma":[0.3884459,0.1508272,0.1463721,0.2769948,0.02214165,0.00334483,0.001938644,0.0004021652,0.009532601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1328346,"threshold_uncertainty_score":0.7025048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3064058140514489,"score_gpt":0.4353314193575088,"score_spread":0.1289256053060599,"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."}}