{"id":"W4223510495","doi":"10.3390/geohazards3020010","title":"Modelling the Roles of Community-Based Organisations in Post-Disaster Transformative Adaptation","year":2022,"lang":"en","type":"article","venue":"GeoHazards","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Response Biomedical (Canada); York University","funders":"","keywords":"Transformative learning; Vulnerability (computing); Hazard; Adaptation (eye); Construct (python library); Public relations; Knowledge management; Sociology; Political science; Psychology; Computer science; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.0009816833,0.00004642817,0.00006569109,0.00007974685,0.0009323741,0.00002679375,0.0003337814,0.00001427476,0.0002179868],"category_scores_gemma":[0.00001529417,0.00003787476,0.00003436421,0.0003697474,0.0001626624,0.0001587473,0.00004535785,0.0001759292,0.000003677829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005459956,"about_ca_system_score_gemma":0.0001328493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003637516,"about_ca_topic_score_gemma":0.00701073,"domain_scores_codex":[0.998684,0.000647707,0.0001473547,0.00004704009,0.000342306,0.0001316239],"domain_scores_gemma":[0.9996346,0.0001257946,0.00005615351,0.0001204419,0.000047572,0.0000154643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001308359,0.00006657864,0.00007944079,0.000006932748,0.00000478295,1.847623e-7,0.5021555,0.4851601,0.00002261787,0.009057072,0.00005697524,0.00337671],"study_design_scores_gemma":[0.0002686536,0.00005998079,0.000449433,0.000007640908,0.00001309898,7.709164e-8,0.8846249,0.100323,0.00003069994,0.003134673,0.01101119,0.00007668239],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532617,0.00002277051,0.01500273,0.003897311,0.00007759425,0.000287453,0.00002229091,0.00002099671,0.02740709],"genre_scores_gemma":[0.9991665,0.000004543616,0.0001128838,0.0003669563,0.00001016307,0.00003135688,0.00001868212,0.000003768313,0.0002851578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3848371,"threshold_uncertainty_score":0.7171162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04075499027466147,"score_gpt":0.2832724427812674,"score_spread":0.2425174525066059,"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."}}