{"id":"W3204598495","doi":"10.3390/su131910617","title":"A Systematic Literature Review of Inclusive Climate Change Adaption","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Scope (computer science); Grey literature; Context (archaeology); Climate change; Political science; Inclusion (mineral); United Nations Framework Convention on Climate Change; Systematic review; Convention; Subsidy; Government (linguistics); Adaptation (eye); Public relations; Management science; Process management; Sociology; Computer science; Psychology; Social science; Business; Geography; Economics; Kyoto Protocol; Linguistics; Ecology","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":[0.03339319,0.001674268,0.005218202,0.03735767,0.00169085,0.004178843,0.002440823,0.002949565,0.00477641],"category_scores_gemma":[0.1277113,0.001350867,0.004924529,0.03324122,0.001807818,0.006292367,0.004115724,0.001820523,0.0007299836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00642108,"about_ca_system_score_gemma":0.04055368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008021913,"about_ca_topic_score_gemma":0.02728496,"domain_scores_codex":[0.9643935,0.01469234,0.01303319,0.001858716,0.005293286,0.0007289262],"domain_scores_gemma":[0.8890437,0.07963837,0.01250135,0.002242418,0.01551115,0.001062928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00008780751,0.00002813467,0.0008848269,0.8829347,0.002010416,0.0003006084,0.001812782,0.0002078165,0.0003581246,0.001690884,0.005581087,0.1041028],"study_design_scores_gemma":[0.00004103699,0.00008330396,0.001909614,0.9511345,0.006150064,0.0003105268,0.001164465,0.00006992548,0.000181023,0.0008436188,0.03807982,0.00003195251],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002123241,0.9905854,0.001317342,0.001778913,0.0004373018,0.001144262,0.000710985,0.00002526321,0.001877367],"genre_scores_gemma":[0.01843613,0.9722027,0.004523892,0.001601956,0.0001764686,0.002055792,0.000639485,0.00001693015,0.0003467885],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03735767,"threshold_uncertainty_score":0.1766022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04989393055436058,"score_gpt":0.356547218727225,"score_spread":0.3066532881728644,"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."}}