{"id":"W4382315680","doi":"10.3390/socsci12050290","title":"Measuring Resilience and the Importance of Resource Connectivities: Revising the Adult Resilience Measure (RRC-ARM)","year":2023,"lang":"en","type":"article","venue":"Social Sciences","topic":"Resilience and Mental Health","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"H2020 European Research Council; European Research Council; Universidad del Rosario; University of Birmingham","keywords":"Resilience (materials science); Measure (data warehouse); Psychological resilience; Scale (ratio); Sociology; Resource (disambiguation); Field (mathematics); Psychology; Environmental resource management; Social psychology; Computer science; Geography; Economics; Cartography; Mathematics","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":[0.009543034,0.0003439772,0.0003820287,0.003379884,0.0009706226,0.001297568,0.0008841059,0.0004905592,0.0009078632],"category_scores_gemma":[0.02109066,0.0001814728,0.0005738695,0.003059503,0.001715478,0.002101496,0.002947376,0.002042333,0.00009548345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014476,"about_ca_system_score_gemma":0.002187906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006698071,"about_ca_topic_score_gemma":0.01538908,"domain_scores_codex":[0.9939075,0.003422508,0.0008502215,0.0003833393,0.00120004,0.0002363818],"domain_scores_gemma":[0.9892076,0.004746357,0.002984902,0.0008166894,0.001675781,0.0005687299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008991946,0.0002009898,0.5124543,0.001482389,0.0004090664,0.0002841022,0.03129452,0.00208937,0.001631791,0.03116507,0.008403943,0.4104946],"study_design_scores_gemma":[0.00002396863,0.0008036086,0.890397,0.002002309,0.0002332514,0.0007567452,0.0302742,0.003607079,0.001640135,0.02361528,0.0464823,0.0001641941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9088033,0.004020942,0.05330069,0.008285359,0.0004090509,0.001559608,0.001404035,0.0001549817,0.02206207],"genre_scores_gemma":[0.9442424,0.000918953,0.05215014,0.0003736838,0.00005938089,0.001078044,0.0004716112,0.00001301332,0.0006926718],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009543034,"threshold_uncertainty_score":0.05046898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06958640237441781,"score_gpt":0.3836947541189522,"score_spread":0.3141083517445343,"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."}}