{"id":"W7008363039","doi":"","title":"Canada is flattening the coronavirus curve. That's good news, expert explains","year":2020,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Healthcare Systems and Challenges","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Coronavirus; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Flattening","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00306776,0.001025334,0.0006686043,0.00106625,0.01823069,0.007067997,0.002233875,0.02763129,0.02145835],"category_scores_gemma":[0.01113438,0.0005420294,0.001368823,0.0009208662,0.005436542,0.004102687,0.001853159,0.02262633,0.005554461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01948944,"about_ca_system_score_gemma":0.09393791,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9167999,"about_ca_topic_score_gemma":0.9653291,"domain_scores_codex":[0.9956863,0.0002873277,0.000100986,0.0002767549,0.002191248,0.001457435],"domain_scores_gemma":[0.9922363,0.001163951,0.0001221403,0.0001434886,0.003941103,0.00239293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009912722,0.00001408525,0.0005535861,0.00001816594,0.000005227535,0.0001108327,0.0001100394,0.00003131832,0.00006999282,0.003695619,0.9902242,0.00515709],"study_design_scores_gemma":[0.00002076979,0.00001471294,0.001934266,0.0001106111,0.00001226602,0.0000929631,0.001166759,0.0001054766,0.0001515959,0.0021837,0.9941655,0.0000413513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007344063,0.002663673,0.000241056,0.958203,0.009556604,0.00002154097,0.0002661611,0.0001171622,0.02819642],"genre_scores_gemma":[0.006558823,0.00282032,0.0005159799,0.8796821,0.002147516,0.00002554192,0.0001861147,0.0000938864,0.1079697],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0832001,"threshold_uncertainty_score":0.1673801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.127874557092889,"score_gpt":0.3744039411457332,"score_spread":0.2465293840528442,"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."}}