{"id":"W7109523873","doi":"10.5281/zenodo.17840265","title":"Advances in Community Paramedicine in Response to COVID-19","year":2022,"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":[0.007591896,0.0003481106,0.0004544567,0.001598439,0.004514162,0.004610062,0.002168688,0.00183499,0.007696288],"category_scores_gemma":[0.02973443,0.0002596326,0.0004097965,0.002741844,0.002399706,0.002038723,0.004463329,0.002967536,0.0005986645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03769536,"about_ca_system_score_gemma":0.1631255,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.779317,"about_ca_topic_score_gemma":0.9054683,"domain_scores_codex":[0.9916014,0.002729582,0.0003824055,0.000578145,0.002135517,0.002572858],"domain_scores_gemma":[0.9697919,0.003704969,0.003208931,0.0006616797,0.01390287,0.008729716],"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":[0.0008831098,0.001140941,0.285493,0.006242646,0.0002250996,0.001339081,0.03568912,0.001981173,0.002638979,0.01996568,0.05419954,0.5902016],"study_design_scores_gemma":[0.0001875614,0.001401084,0.5851548,0.007528152,0.0001940669,0.0008786118,0.08967542,0.0009300571,0.00146318,0.003063546,0.309379,0.0001445017],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4662649,0.06726551,0.002696769,0.346977,0.002341537,0.001310237,0.002346688,0.0002183593,0.110579],"genre_scores_gemma":[0.9413835,0.0262584,0.005244574,0.02038769,0.0005102117,0.0002066215,0.0006306347,0.00004221021,0.005336195],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.779317,"threshold_uncertainty_score":0.4439653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05058554168913917,"score_gpt":0.3346993374405569,"score_spread":0.2841137957514177,"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."}}