{"id":"W4386320592","doi":"10.1007/978-981-19-8163-0_17","title":"Conclusion","year":2023,"lang":"en","type":"book-chapter","venue":"Urban health and wellbeing","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Development economics; Political science; Geography; History; Regional science; Economics; Medicine; Pathology; Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002793132,0.0004112486,0.0003007809,0.0009389002,0.002387909,0.005723277,0.001500962,0.002029772,0.3111558],"category_scores_gemma":[0.01179094,0.0001518483,0.0005526203,0.0007772438,0.001412404,0.003008711,0.002642401,0.002215876,0.09211543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003141241,"about_ca_system_score_gemma":0.004450809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008250576,"about_ca_topic_score_gemma":0.01071292,"domain_scores_codex":[0.9978431,0.0004171158,0.0000598492,0.0004091913,0.0009000418,0.0003706545],"domain_scores_gemma":[0.9965148,0.0006927524,0.0001273973,0.0003719769,0.00170868,0.0005843797],"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":[0.0000896171,0.00004276072,0.001691109,0.0002174737,0.00001357625,0.0001514492,0.001407178,0.0001317496,0.000275664,0.2823734,0.6126236,0.1009824],"study_design_scores_gemma":[0.00001012159,0.000009647155,0.001214649,0.0002156901,0.00000811959,0.00007309667,0.002082077,0.00005346816,0.0002394144,0.02980677,0.9662815,0.00000533041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002230553,0.0008282554,0.003027544,0.03457584,0.003706069,0.00007579468,0.0008990718,0.000209304,0.9544476],"genre_scores_gemma":[0.05070709,0.001234376,0.003123811,0.03849831,0.001107754,0.0001595297,0.001504919,0.0004040611,0.9032602],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6888442,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2478146242515928,"score_gpt":0.4110373361826707,"score_spread":0.1632227119310779,"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."}}