{"id":"W3198925403","doi":"10.2196/31329","title":"Authors’ Response to Peer Reviews of “The Exchange of Informational Support in Online Health Communities at the Onset of the COVID-19 Pandemic: Content Analysis”","year":2021,"lang":"en","type":"article","venue":"JMIRx Med","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Content analysis; Content (measure theory); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychology; Medicine; Virology; Sociology; Mathematics; Social science; Disease","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":[],"consensus_categories":[],"category_scores_codex":[0.004807869,0.0001140044,0.0006855634,0.0001369108,0.00007124487,0.000004045421,0.0003732825,0.00004508385,0.0007329686],"category_scores_gemma":[0.005193173,0.0000587553,0.0002740042,0.001039495,0.000239406,0.0000372122,0.0003911531,0.00020622,0.00000456817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002389463,"about_ca_system_score_gemma":0.001115224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007898195,"about_ca_topic_score_gemma":0.01855992,"domain_scores_codex":[0.9960542,0.001975083,0.001003069,0.0001013361,0.0007000669,0.0001662129],"domain_scores_gemma":[0.9968239,0.0007491279,0.0006231022,0.001236593,0.0004256773,0.0001415689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002447007,0.0004304574,0.7868527,0.001024809,0.0003763264,0.000004708232,0.02639728,0.000107864,0.0008420543,0.00004995682,0.1805405,0.0009263248],"study_design_scores_gemma":[0.0009090627,0.00006383291,0.6105943,0.0001526701,0.0001142588,0.00001716917,0.003466068,0.00004812301,0.0001164946,0.000005840179,0.3844638,0.00004845084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9131941,0.0006974983,0.00001703205,0.08090204,0.0000793923,0.001027311,0.003994185,0.000008474595,0.00007992514],"genre_scores_gemma":[0.9653937,0.0004325749,0.0001203306,0.01875246,0.00001846264,0.0000758114,0.001795201,0.00001066598,0.01340084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2039232,"threshold_uncertainty_score":0.9993488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2345123076095172,"score_gpt":0.4267473711328654,"score_spread":0.1922350635233482,"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."}}