{"id":"W3024326183","doi":"10.1177/2380084420929284","title":"COVID-19: Perspective of a Dean of Dentistry","year":2020,"lang":"en","type":"article","venue":"JDR Clinical & Translational Research","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Perspective (graphical); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus Infections; Dentistry; Medicine; Computer science; Virology; Artificial intelligence; Outbreak; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003932961,0.000154375,0.0004817985,0.0002110028,0.0001658361,0.00004402506,0.0008714061,0.0002498013,0.005921468],"category_scores_gemma":[0.0412062,0.0001494067,0.0005101358,0.001123948,0.001274077,0.0001706837,0.0002009756,0.001225181,0.0005707748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000153577,"about_ca_system_score_gemma":0.00376106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007879189,"about_ca_topic_score_gemma":0.0003688543,"domain_scores_codex":[0.9932469,0.001155168,0.001132215,0.0006584694,0.003268449,0.0005387729],"domain_scores_gemma":[0.9864888,0.009989978,0.0001614181,0.0003923206,0.001076422,0.001891038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.01580689,0.003497242,0.3816114,0.002320876,0.0010673,0.001588649,0.002886612,0.0003706335,0.01033962,0.4939999,0.07470139,0.01180954],"study_design_scores_gemma":[0.01871316,0.003923638,0.5108607,0.0001932717,0.0001356404,0.0001058606,0.004781212,0.006013364,0.003072235,0.3885549,0.06276279,0.000883281],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9051629,0.001928694,0.01989815,0.03658031,0.0003717893,0.001636705,0.001546793,0.0001150223,0.03275964],"genre_scores_gemma":[0.9970474,0.00008505044,0.0007054907,0.0009356758,0.000235133,0.00002396619,0.00005601726,0.00002612386,0.0008851677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1292493,"threshold_uncertainty_score":0.9949872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4671909804343906,"score_gpt":0.6041911179645089,"score_spread":0.1370001375301182,"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."}}