{"id":"W6923665412","doi":"10.1371/journal.pone.0262447.t002","title":"Sociodemographic factors of outbreak Near Me respondents and COVID-19 cases in Ontario based on geographic region of dwelling.","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"German History and Society","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outbreak; Location; Population; Epidemiology; Incidence (geometry)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001335994,0.0002944763,0.0004981252,0.0004415577,0.0003997476,0.00004628346,0.0003259817,0.0002267476,0.3981505],"category_scores_gemma":[0.000263628,0.0002924611,0.0003106008,0.00009130347,0.0001561808,0.00007463327,0.0001011557,0.0006911267,0.0000101227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001952845,"about_ca_system_score_gemma":0.0004862555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04976921,"about_ca_topic_score_gemma":0.21161,"domain_scores_codex":[0.9984113,0.0001933138,0.0004088558,0.0003693474,0.0004079897,0.0002091991],"domain_scores_gemma":[0.9984252,0.0004995806,0.0004703047,0.0004295073,0.00006606353,0.0001093032],"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":[0.00008648414,0.0001353206,0.000888328,0.001012426,0.00003706185,0.00009701193,0.009440003,0.00006924496,5.031956e-8,0.00001348889,0.9882184,0.000002212227],"study_design_scores_gemma":[0.0003776789,0.0002409903,0.001335473,0.0006569262,0.00004783065,0.000002283517,0.0009607682,0.00001048203,4.016312e-7,0.00002022979,0.9960862,0.0002606676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008357571,0.0002997993,8.880969e-9,0.00001709587,0.0001162405,0.0002823231,0.9907727,0.00001814439,0.0001361407],"genre_scores_gemma":[0.01554926,0.00001869992,5.892322e-7,0.0003535764,0.00002701569,0.00006420636,0.9833372,0.00001929211,0.0006301557],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3981404,"threshold_uncertainty_score":0.9999527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1014841186784652,"score_gpt":0.2594863143815562,"score_spread":0.158002195703091,"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."}}