{"id":"W2405162660","doi":"10.1016/s0140-6736(16)30602-x","title":"Mental health surveillance after the terrorist attacks in Paris","year":2016,"lang":"en","type":"letter","venue":"The Lancet","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"Defence Science and Technology Group; Defence Science and Technology Laboratory; Engineering and Physical Sciences Research Council; Deutsche Forschungsgemeinschaft","keywords":"Scopus; Mental health; Social media; Public health; Terrorism; Population; Psychology; Medicine; Geography; MEDLINE; Psychiatry; Environmental health; Political science; Computer science; World Wide Web","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":[0.009576746,0.0008412917,0.0009978128,0.001005301,0.003224088,0.004124525,0.002178753,0.03188544,0.002808637],"category_scores_gemma":[0.03948893,0.0007993733,0.001312971,0.0009897179,0.002529976,0.002980619,0.002877731,0.02580948,0.001702149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008926769,"about_ca_system_score_gemma":0.0145396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.108841,"about_ca_topic_score_gemma":0.1342332,"domain_scores_codex":[0.9908149,0.003614919,0.001115296,0.0007825654,0.001908719,0.00176358],"domain_scores_gemma":[0.9780934,0.009576118,0.003256043,0.0007401555,0.003721434,0.004612958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001054735,0.00003938795,0.006655642,0.0002216569,0.00008146552,0.001204433,0.001160954,0.0002788809,0.000377494,0.0026857,0.9667705,0.0204182],"study_design_scores_gemma":[0.0003046681,0.0002033615,0.0313617,0.002762802,0.000189546,0.0007917146,0.004939158,0.001443921,0.00107999,0.007572504,0.9491752,0.000175538],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001538987,0.001337147,0.0001091239,0.9852722,0.008951426,0.0000200759,0.0003154428,0.00003123119,0.002424393],"genre_scores_gemma":[0.01806994,0.001747237,0.0003454027,0.9576934,0.01555046,0.00007527651,0.0002069026,0.00003808917,0.006273256],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.108841,"threshold_uncertainty_score":0.2164149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394081775379724,"score_gpt":0.3071673477925493,"score_spread":0.283226530038752,"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."}}