{"id":"W4309735611","doi":"10.1002/ece3.9552","title":"Moving past the challenges and misconceptions in urban adaptation research","year":2022,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Brock University; Université de Sherbrooke","funders":"National Science Foundation of Sri Lanka; National Science Foundation","keywords":"Adaptation (eye); Data science; Geography; Computer science; Psychology; Neuroscience","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2071272,0.001381144,0.002946129,0.006876404,0.006641717,0.01872132,0.01004876,0.009335018,0.002759099],"category_scores_gemma":[0.1870764,0.001011473,0.001642768,0.007721474,0.0806879,0.03843969,0.01263838,0.028676,0.000974178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007625423,"about_ca_system_score_gemma":0.00759911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007416653,"about_ca_topic_score_gemma":0.01111215,"domain_scores_codex":[0.9112211,0.06480677,0.006431342,0.007787162,0.008505117,0.001248463],"domain_scores_gemma":[0.5963441,0.3523447,0.01042897,0.0156112,0.02113265,0.004138412],"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":[0.0001445957,0.0001642958,0.006124769,0.004170894,0.0002684046,0.0003719491,0.05982011,0.00198147,0.0003824829,0.7046455,0.05104006,0.1708854],"study_design_scores_gemma":[0.00002903446,0.0001059055,0.002971727,0.005906444,0.00008318818,0.0004431534,0.04006357,0.001941756,0.0005088624,0.7439036,0.2038624,0.00018041],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01174283,0.1431776,0.03320827,0.7940565,0.009183113,0.00007522895,0.0001413205,0.0001391194,0.008275931],"genre_scores_gemma":[0.3301508,0.2258795,0.07742837,0.3294884,0.03189639,0.0007315351,0.0001844399,0.0004329479,0.003807559],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2071272,"threshold_uncertainty_score":0.9777533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03904910036961189,"score_gpt":0.259408099844172,"score_spread":0.2203589994745601,"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."}}