{"id":"W3137174455","doi":"10.3138/cart-2020-0027","title":"Geovisualization of COVID-19: State of the Art and Opportunities","year":2021,"lang":"fr","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008178699,0.001041473,0.000638904,0.00562626,0.0006632023,0.007354412,0.002272092,0.001332845,0.01815286],"category_scores_gemma":[0.01998531,0.000564123,0.001071174,0.004285568,0.002058662,0.004636069,0.002977536,0.001379387,0.003307589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001875525,"about_ca_system_score_gemma":0.002125411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01349271,"about_ca_topic_score_gemma":0.01178317,"domain_scores_codex":[0.9965675,0.001640308,0.0001406096,0.0004285657,0.0009863025,0.0002366893],"domain_scores_gemma":[0.978336,0.01491636,0.0006749445,0.001571642,0.003831799,0.000669317],"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":[0.0007446028,0.00009792104,0.009118663,0.006429574,0.0001729137,0.0002737483,0.01004022,0.002934466,0.008273175,0.02095741,0.04652028,0.894437],"study_design_scores_gemma":[0.00006738013,0.0003335255,0.02213256,0.007727352,0.0001882021,0.001164543,0.01094093,0.007149155,0.007805421,0.01617783,0.9260116,0.0003015377],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1098045,0.3066834,0.2879779,0.0321536,0.005068508,0.001235969,0.01625199,0.01426233,0.2265619],"genre_scores_gemma":[0.3978004,0.2489622,0.2822983,0.003789681,0.004066127,0.001081334,0.0111207,0.00431741,0.04656378],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01815286,"threshold_uncertainty_score":0.06072736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02726653386274161,"score_gpt":0.3220910421274416,"score_spread":0.2948245082647,"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."}}