{"id":"W4322630576","doi":"10.55917/2769-7045.1002","title":"Exploring the Impacts of the COVID-19 Pandemic on the Number of Reported Missing Persons in Canada during 2020","year":2023,"lang":"en","type":"article","venue":"International journal of missing persons/International journal of missing persons ","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Mounted Police","funders":"","keywords":"Pandemic; Missing data; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Demography; Geography; Medicine; Sociology; Statistics; Virology; Mathematics; Infectious disease (medical specialty); Outbreak; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001524794,0.000218504,0.0003137259,0.001095666,0.002202888,0.001243081,0.001089632,0.000365286,0.001894974],"category_scores_gemma":[0.005286948,0.0001702179,0.0006363507,0.002191705,0.000546207,0.0006691521,0.001216516,0.001187008,0.0001390855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02079179,"about_ca_system_score_gemma":0.04274368,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9911924,"about_ca_topic_score_gemma":0.9951288,"domain_scores_codex":[0.9987662,0.000157564,0.00004752092,0.00009185221,0.0003620212,0.0005749025],"domain_scores_gemma":[0.9969189,0.0002607794,0.0006018322,0.00007888382,0.001473243,0.0006663041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009047893,0.00004170822,0.9781746,0.00007325433,0.0000703363,0.0001028395,0.002380426,0.000648368,0.0001026372,0.0004543276,0.003847286,0.01401385],"study_design_scores_gemma":[0.000004223037,0.00002509574,0.9878918,0.0001165803,0.00002933242,0.00005097043,0.008123413,0.0008182098,0.0001260084,0.00009255837,0.002704505,0.00001736252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771246,0.000853429,0.0002772933,0.003033396,0.000028156,0.00005438859,0.01303795,0.0000178287,0.005572957],"genre_scores_gemma":[0.9954472,0.000752985,0.0003243193,0.0002963382,0.000007024109,0.00002296607,0.002325572,0.000005924953,0.0008175577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02079179,"threshold_uncertainty_score":0.1508557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1629421325754591,"score_gpt":0.400921974644772,"score_spread":0.2379798420693129,"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."}}