{"id":"W4285537326","doi":"10.1007/978-3-030-42462-6_129","title":"Long-Term Resilience to Climate Change Risks in French Polynesian Community","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Resilience (materials science); Context (archaeology); Climate change; Toolbox; Geography; Environmental resource management; Term (time); Community resilience; Risk management; Environmental planning; Psychological resilience; Political science; Risk analysis (engineering); Business; Computer science; Environmental science; Ecology; Archaeology; Psychology; Resource (disambiguation)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001377015,0.0003374185,0.000438886,0.0004059912,0.0008183616,0.0002057761,0.0006209968,0.0005045233,0.00279839],"category_scores_gemma":[0.0001996499,0.0003792197,0.0001184023,0.0002699465,0.0002445627,0.0003487534,0.0002666037,0.0006673197,0.0003394841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000640165,"about_ca_system_score_gemma":0.0002050641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08646497,"about_ca_topic_score_gemma":0.8857829,"domain_scores_codex":[0.9974068,0.0003593543,0.0004995532,0.0004571947,0.000694452,0.0005825965],"domain_scores_gemma":[0.9983114,0.0002938306,0.00023831,0.0006517981,0.0002575754,0.000247107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005010341,0.000355207,0.1288494,0.0004261565,0.00005098102,0.0002075626,0.3064593,0.000008406183,0.000122066,0.4718813,0.002260433,0.08932901],"study_design_scores_gemma":[0.0006392479,0.0002370011,0.9350019,0.002499398,0.0001045884,0.000006914054,0.02335064,0.00003644117,0.00005414887,0.006233944,0.02973174,0.002104101],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07102092,0.0006761238,0.00008659479,0.002692576,0.0006629758,0.001501871,0.0001447783,0.0002014523,0.9230127],"genre_scores_gemma":[0.5388775,0.008885395,0.0007192594,0.002539892,0.001383081,0.0002630771,0.0008710749,0.0001436749,0.446317],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8061524,"threshold_uncertainty_score":0.9998659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.264338236372592,"score_gpt":0.3808179272909967,"score_spread":0.1164796909184047,"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."}}