{"id":"W7109641215","doi":"10.5281/zenodo.17840266","title":"Advances in Community Paramedicine in Response to COVID-19","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto","funders":"","keywords":"Pandemic; MEDLINE; Intervention (counseling); Emergency response; Coronavirus disease 2019 (COVID-19)","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":[0.007582888,0.0003456594,0.0004544868,0.001595096,0.004481461,0.004576516,0.002170311,0.001825096,0.007665581],"category_scores_gemma":[0.02974168,0.0002588108,0.0004081235,0.002743255,0.002383273,0.002024355,0.004446444,0.002952701,0.0005951594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03744493,"about_ca_system_score_gemma":0.1621329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7781665,"about_ca_topic_score_gemma":0.9050466,"domain_scores_codex":[0.9916539,0.002716061,0.000380685,0.0005734929,0.002123316,0.002552518],"domain_scores_gemma":[0.9696816,0.003712946,0.003217136,0.0006634702,0.01399553,0.008729323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008883249,0.001144552,0.2875695,0.006252341,0.0002261123,0.001334406,0.03538337,0.001973652,0.002644443,0.01980039,0.05413666,0.5886462],"study_design_scores_gemma":[0.000187698,0.001403382,0.5887298,0.007468017,0.0001930779,0.0008742812,0.08875084,0.0009247979,0.001451861,0.003033418,0.3068392,0.0001436312],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4690561,0.06722266,0.00268985,0.3448145,0.00233872,0.001311548,0.002352061,0.0002168132,0.1099978],"genre_scores_gemma":[0.9415119,0.02621681,0.005190673,0.02036083,0.0005114418,0.0002065862,0.0006312836,0.00004209335,0.005328452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7781665,"threshold_uncertainty_score":0.4462799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06492250885902334,"score_gpt":0.3540011891272939,"score_spread":0.2890786802682705,"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."}}