{"id":"W6958760748","doi":"10.6084/m9.figshare.c.7474111.v1","title":"Lower social vulnerability is associated with a higher prevalence of social media-involved violent crimes in Prince George’s County, Maryland, 2018–2023","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social vulnerability; Vulnerability (computing); Socioeconomic status; Poison control; Injury prevention; Suicide prevention; Ethnic group","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":[0.0003406227,0.0002385037,0.0001783749,0.001322822,0.001002266,0.0007066191,0.000556513,0.000372488,0.002397337],"category_scores_gemma":[0.002322355,0.0002883391,0.000343426,0.001362251,0.0003511561,0.0004526282,0.001192485,0.0008022166,0.0002261222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007040576,"about_ca_system_score_gemma":0.0008327517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09713407,"about_ca_topic_score_gemma":0.1474393,"domain_scores_codex":[0.9996159,0.00009024292,0.00003771192,0.00011166,0.00005384803,0.00009059379],"domain_scores_gemma":[0.9979594,0.0001732379,0.001026892,0.00007623329,0.0004053311,0.0003588826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001714464,0.00001680471,0.997524,0.000016428,0.00004089631,0.00007592185,0.0002830534,0.00002213368,0.00005212979,0.00002599671,0.0009776602,0.0009479115],"study_design_scores_gemma":[0.00000121267,0.000009161527,0.9986015,0.00001561433,0.000009175324,0.0000784111,0.0009071555,0.00006993855,0.00001365803,0.00001623452,0.0002752356,0.000002722768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973678,0.0002249352,0.00008892879,0.0004949133,0.00001708421,0.00001356182,0.001162607,0.000007134349,0.0006229575],"genre_scores_gemma":[0.9985537,0.0001204611,0.000105449,0.0001062127,0.00002410097,0.00002708246,0.0007287502,0.000002685243,0.0003316386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09713407,"threshold_uncertainty_score":0.1931373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0379661415932785,"score_gpt":0.2510084545948104,"score_spread":0.2130423130015319,"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."}}