{"id":"W6921079871","doi":"10.6084/m9.figshare.13347093","title":"The association between COVID-19 cases and deaths and web-based public inquiries","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intraclass correlation; Public interest; Public health; Reliability (semiconductor); Disease; Association (psychology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009148516,0.00009415077,0.0001623765,0.00002277383,0.0001745022,0.0001176636,0.00007159902,0.00005716846,0.004192318],"category_scores_gemma":[0.02845854,0.00007089095,0.0000282302,0.0001366919,0.00003165723,0.00009631355,0.00008820952,0.0001011847,0.0001352744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007613381,"about_ca_system_score_gemma":0.0003337605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004862042,"about_ca_topic_score_gemma":0.00003333675,"domain_scores_codex":[0.9992284,0.00007410491,0.0001228566,0.0001976965,0.0002093248,0.0001676683],"domain_scores_gemma":[0.9977973,0.001456239,0.00009370773,0.0001505979,0.00009496933,0.0004071981],"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":[0.00003127974,0.000007051925,0.3851139,0.0002972776,0.00005070116,0.00004837893,0.00008050458,2.878536e-7,0.000008769154,0.00001280679,0.6119103,0.002438778],"study_design_scores_gemma":[0.0008178036,0.00006594651,0.2258238,0.00008736679,0.00002985446,0.000003942877,0.00004976217,0.000130323,0.00002490154,0.000006921277,0.7728814,0.00007789887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.07597805,0.003754487,0.000006726335,0.05908671,0.00003632233,0.0008655386,0.8589237,0.0004841333,0.0008643092],"genre_scores_gemma":[0.9183069,0.0000164812,0.00001804306,0.005465975,0.0001855695,0.00005821533,0.07585833,0.00001365262,0.0000768148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8423288,"threshold_uncertainty_score":0.996718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1132321282806069,"score_gpt":0.3244028874560292,"score_spread":0.2111707591754223,"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."}}