{"id":"W7135349602","doi":"","title":"COVID-19 in LAC : High Frequency Phone Surveys - Technical Note","year":2021,"lang":"en","type":"other","venue":"The World Bank Open Knowledge Repository (World Bank)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Latin Americans; Phone; Welfare; Economic indicator; Real gross domestic product; Real world data","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":[0.005591197,0.0009658911,0.0004822853,0.004136971,0.001462062,0.00295277,0.001781531,0.001006487,0.192471],"category_scores_gemma":[0.01660307,0.0007147926,0.0005674471,0.006505623,0.000375159,0.001948069,0.003483254,0.001061032,0.181935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001982268,"about_ca_system_score_gemma":0.007398163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1185311,"about_ca_topic_score_gemma":0.1233612,"domain_scores_codex":[0.99616,0.001122223,0.0003741318,0.0003511037,0.001400442,0.0005919885],"domain_scores_gemma":[0.9851762,0.002298696,0.0008673564,0.001545494,0.008473931,0.001638359],"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":[0.00004565015,0.00006073735,0.005185593,0.0002010514,0.000006713078,0.00003235096,0.0002070295,0.00005599247,0.0001441222,0.0009155128,0.9588329,0.0343124],"study_design_scores_gemma":[0.00006591261,0.00005316064,0.05232523,0.000463011,0.000009195182,0.00005573876,0.0008096063,0.0002626249,0.0003996256,0.0007374531,0.9447817,0.00003682604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.004423406,0.000487215,0.004717476,0.003303779,0.00062238,0.003068845,0.806091,0.002993059,0.1742929],"genre_scores_gemma":[0.01983784,0.00124673,0.01393205,0.002524838,0.0004743031,0.01380966,0.7155337,0.002089341,0.2305516],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.192471,"threshold_uncertainty_score":0.6438797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03407604477248933,"score_gpt":0.3347946476245419,"score_spread":0.3007186028520525,"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."}}