{"id":"W2969074426","doi":"10.5751/es-11075-240309","title":"Social–ecological inventory in a postdisaster context: the 2016 Kaikōura earthquake, Aotearoa-New Zealand","year":2019,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aotearoa; Context (archaeology); Ecology; Geography; Sociology; Biology; Archaeology; Gender studies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001121591,0.0002537586,0.0002277276,0.001582438,0.001681568,0.001109157,0.0006767813,0.0003462879,0.003716009],"category_scores_gemma":[0.003011195,0.0002744319,0.0001892836,0.003070292,0.001468288,0.001387578,0.003088407,0.001129302,0.0003872034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006937397,"about_ca_system_score_gemma":0.007530331,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7292949,"about_ca_topic_score_gemma":0.895874,"domain_scores_codex":[0.9995697,0.00007295606,0.00003722768,0.00004230055,0.0001574846,0.0001203325],"domain_scores_gemma":[0.9977735,0.0001746936,0.0006485466,0.0000979156,0.0005798287,0.0007254087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000211434,0.000111894,0.8080178,0.0005903541,0.00007954556,0.001396996,0.07187063,0.0004214056,0.00143459,0.001172021,0.02640266,0.0882906],"study_design_scores_gemma":[0.000002972518,0.00003598053,0.9663747,0.00009054894,0.000008634346,0.00004900716,0.02559399,0.0001203669,0.00005076904,0.0001282867,0.007528641,0.00001616777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791597,0.000888027,0.0002420514,0.004518928,0.0001009069,0.0001433295,0.00521963,0.00002124175,0.009706265],"genre_scores_gemma":[0.9913734,0.001464218,0.0007328519,0.0002377106,0.00004467668,0.000162795,0.002198982,0.00001714831,0.003768202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7292949,"threshold_uncertainty_score":0.5445987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02551885350883948,"score_gpt":0.2897548798215828,"score_spread":0.2642360263127433,"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."}}