{"id":"W3205771600","doi":"10.2196/34138","title":"Authors’ Response to Peer Reviews of “Influence of Mass Media on Italian Web Users During the COVID-19 Pandemic: Infodemiological Analysis”","year":2021,"lang":"en","type":"article","venue":"JMIRx Med","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Mass media; World Wide Web; Computer science; Virology; Medicine; Advertising; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007413234,0.00009736864,0.0003835696,0.0001569084,0.0001761338,0.0000275473,0.000338887,0.0001248017,0.0008424135],"category_scores_gemma":[0.06097359,0.00006202263,0.000174321,0.001447247,0.0001989279,0.0001442262,0.00004671074,0.0001526745,0.00004273775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001460958,"about_ca_system_score_gemma":0.0004311315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001278211,"about_ca_topic_score_gemma":0.0007239158,"domain_scores_codex":[0.9968749,0.001440699,0.0005852268,0.0001495934,0.0007061986,0.0002433246],"domain_scores_gemma":[0.9974371,0.001283911,0.0003055698,0.0003451335,0.0002540937,0.0003742104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002568756,0.0001833195,0.2027785,0.0002772375,0.0004286873,0.00002886754,0.6043769,0.01231184,0.07131904,0.01174839,0.09230906,0.001669383],"study_design_scores_gemma":[0.0003887855,0.00005165395,0.232189,0.00003976771,0.00008039776,0.000001521417,0.01323196,0.00004362913,0.0006561491,0.0001572199,0.7529957,0.0001642952],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708306,0.00004313396,0.00005148624,0.02563345,0.00006552193,0.0002842832,0.00002354758,0.00002712299,0.003040876],"genre_scores_gemma":[0.9864567,0.0002129761,0.0001656409,0.003825198,0.00002975027,0.00000870966,0.000006452816,0.000003165206,0.009291432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6606866,"threshold_uncertainty_score":0.9469362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1354323522994809,"score_gpt":0.4279385828025863,"score_spread":0.2925062305031054,"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."}}