{"id":"W2936418510","doi":"10.3390/cli7040056","title":"Development of a Matrix Based Statistical Framework to Compute Weight for Composite Hazards, Vulnerability and Risk Assessments","year":2019,"lang":"en","type":"article","venue":"Climate","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; Department for International Development; Government of the United Kingdom","keywords":"Vulnerability (computing); Statistics; Eigenvalues and eigenvectors; Matrix (chemical analysis); Composite index; Mathematics; Composite indicator; Computer science; Econometrics; Reliability engineering; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.007806782,0.001281871,0.001150239,0.005537283,0.000894585,0.00220959,0.001617306,0.0009153255,0.004550918],"category_scores_gemma":[0.02102331,0.0005088297,0.00157878,0.004047349,0.001218824,0.002960824,0.001735348,0.002074324,0.001043288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329873,"about_ca_system_score_gemma":0.002345721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005671938,"about_ca_topic_score_gemma":0.006186824,"domain_scores_codex":[0.9956647,0.002018079,0.0003182367,0.0005640449,0.001269571,0.0001654759],"domain_scores_gemma":[0.9922532,0.004458004,0.0007283392,0.0004382617,0.001961218,0.0001610861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008382642,0.0001433119,0.007291341,0.0004762688,0.0002767522,0.0002075862,0.0008342086,0.200073,0.007132255,0.3180456,0.006343102,0.4590928],"study_design_scores_gemma":[0.0000217667,0.0002247422,0.002859056,0.0001215024,0.00005577671,0.0001813379,0.0002563767,0.7775621,0.001828249,0.2045924,0.01218698,0.0001096841],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001276509,0.00005058183,0.9979643,0.00006019306,0.00002142331,0.00005411016,0.00006618578,0.0001017588,0.0004051028],"genre_scores_gemma":[0.04398682,0.0002184263,0.9539803,0.00005610759,0.0000767349,0.000445205,0.0002737042,0.00008585186,0.0008767912],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007806782,"threshold_uncertainty_score":0.04128671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178714955349778,"score_gpt":0.3742036083631567,"score_spread":0.3563321128281789,"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."}}