{"id":"W2982436482","doi":"10.1007/978-3-319-95885-9_83","title":"Community Planning Opportunities: Building Resilience to Climate Variability Using Coastal Naturalization","year":2019,"lang":"en","type":"book-chapter","venue":"Encyclopedia of the UN sustainable development goals","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Naturalization; Resilience (materials science); Community resilience; Environmental resource management; Geography; Environmental planning; Environmental science; Political science; Computer science; Politics; Physics","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":[0.00039436,0.0003751694,0.0001459238,0.0004826355,0.001242152,0.002685461,0.0007281677,0.0005514586,0.01431805],"category_scores_gemma":[0.0008217014,0.0001525449,0.0001940456,0.00108325,0.001402452,0.002269879,0.002608178,0.00113347,0.0008920357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012701,"about_ca_system_score_gemma":0.003119331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007934916,"about_ca_topic_score_gemma":0.02988035,"domain_scores_codex":[0.9998852,0.00003675047,0.000002763244,0.00001479514,0.00003170742,0.00002874217],"domain_scores_gemma":[0.9998527,0.00005671531,0.00001119561,0.00002048654,0.00002274297,0.00003615256],"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":[0.000014625,0.00005562289,0.000954251,0.0002246381,0.00001876026,0.0001544355,0.003207751,0.006821396,0.0003543405,0.6150175,0.08277112,0.2904055],"study_design_scores_gemma":[0.000005102909,0.00002127269,0.00132274,0.000302642,0.00001103396,0.00007860757,0.003579903,0.002479523,0.0002689498,0.3123214,0.6795962,0.00001254076],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01178317,0.008425768,0.02667684,0.01451934,0.0006194727,0.00007017193,0.000168364,0.0002026874,0.9375342],"genre_scores_gemma":[0.5307527,0.03322176,0.05389749,0.002421978,0.0005327316,0.0003017579,0.0004982102,0.0002686366,0.3781048],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01431805,"threshold_uncertainty_score":0.04789865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0847778921788883,"score_gpt":0.3142886822452887,"score_spread":0.2295107900664003,"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."}}