{"id":"W3083643576","doi":"10.5747/cs.2020.v04.n1.s090","title":"POLÍTICAS PÚBLICAS EFICIENTES PARA O NOVO CORONAVÍRUS NO MUNDO","year":2020,"lang":"en","type":"article","venue":"COLLOQUIUM SOCIALIS","topic":"Healthcare during COVID-19 Pandemic","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Pandemic; Coronavirus disease 2019 (COVID-19); Recession; China; Index (typography); Geography; Government (linguistics); Political science; Coronavirus; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Socioeconomics; Quarantine; Economic growth; Demography; Development economics; Medicine; Economics; Sociology","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":[0.01212802,0.0004845954,0.0005860505,0.002741592,0.002502944,0.007138979,0.000843334,0.002185601,0.008358944],"category_scores_gemma":[0.0248823,0.0003346351,0.0007078174,0.003987405,0.003199927,0.002900532,0.003195211,0.00290488,0.001119567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008221178,"about_ca_system_score_gemma":0.02088419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02400437,"about_ca_topic_score_gemma":0.02528678,"domain_scores_codex":[0.9894828,0.005303691,0.0003581367,0.0005084514,0.002296696,0.002050307],"domain_scores_gemma":[0.980832,0.00875596,0.004707223,0.001183689,0.002276447,0.002244662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003747659,0.0005643893,0.1104904,0.004897847,0.0001837438,0.001359687,0.01860065,0.001644143,0.003854982,0.2855918,0.09545747,0.4769801],"study_design_scores_gemma":[0.0000639239,0.0002000166,0.08597217,0.004104436,0.0001099969,0.0004850894,0.01892995,0.001011145,0.0009752025,0.01552607,0.8725522,0.00006966696],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2109607,0.07229349,0.009778628,0.3570547,0.005454689,0.000754135,0.002097544,0.0006790769,0.340927],"genre_scores_gemma":[0.9155839,0.0391196,0.008060589,0.01576202,0.002092464,0.0004012526,0.0003971134,0.000120668,0.0184624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02400437,"threshold_uncertainty_score":0.0641399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07164554672837635,"score_gpt":0.3329034102675568,"score_spread":0.2612578635391805,"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."}}