{"id":"W4415101633","doi":"10.17615/vwz3-3g26","title":"Evaluating the intersection of climate vulnerability and cancer burden in North Carolina","year":2025,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill; National Institutes of Health","keywords":"Vulnerability (computing); Cancer incidence; Preparedness; Psychological resilience; Public health; Climate change; Cancer; Psychological intervention; Resilience (materials science)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008740557,0.0001936237,0.0001778609,0.002174748,0.00122645,0.001112869,0.0005797385,0.0002032317,0.00201479],"category_scores_gemma":[0.005700121,0.0001248601,0.0003460026,0.003894743,0.0004026336,0.0005334793,0.001961475,0.0004428162,0.000180671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004438145,"about_ca_system_score_gemma":0.008037935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6176032,"about_ca_topic_score_gemma":0.7979432,"domain_scores_codex":[0.9993445,0.0001906566,0.00003416096,0.00007535077,0.0001837856,0.0001714578],"domain_scores_gemma":[0.9962696,0.001246345,0.0006197998,0.00015326,0.001268743,0.0004421844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005700054,0.00004219989,0.9789508,0.00005082261,0.00007560936,0.0002358838,0.002006501,0.001741963,0.0002640899,0.0003714049,0.002534719,0.01366897],"study_design_scores_gemma":[0.000003112344,0.00002442745,0.9880871,0.00004976806,0.00003874932,0.00005736125,0.006709664,0.001862346,0.0001863758,0.0002769264,0.00268705,0.00001719514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929235,0.0002560413,0.0003664528,0.0008594473,0.000009442189,0.00002579064,0.001443372,0.00002427052,0.00409162],"genre_scores_gemma":[0.9973864,0.0002647716,0.0004387288,0.0001791519,0.00001214505,0.00004797804,0.001062122,0.000007634848,0.0006011548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6176032,"threshold_uncertainty_score":0.7692975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07235116088951456,"score_gpt":0.3660531043002591,"score_spread":0.2937019434107445,"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."}}