{"id":"W3210510426","doi":"10.2196/31645","title":"The Pandemic, Infodemic, and People’s Resilience in India: Viewpoint","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Pandemic; Public health; Public relations; Economic growth; Political science; Psychological resilience; Health care; Coronavirus disease 2019 (COVID-19); Medicine; Business; Development economics; Psychology; Nursing; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002177186,0.0005638507,0.0004595897,0.00196316,0.007041805,0.01380144,0.001598281,0.004826196,0.003373697],"category_scores_gemma":[0.002151051,0.0001852063,0.0005271052,0.00165583,0.02194634,0.009511447,0.008014878,0.00937413,0.000588946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008812617,"about_ca_system_score_gemma":0.009989223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01853512,"about_ca_topic_score_gemma":0.02163562,"domain_scores_codex":[0.9983118,0.0007479144,0.00005197237,0.0001526759,0.0002429688,0.0004926784],"domain_scores_gemma":[0.9977643,0.001110419,0.000187165,0.000120929,0.0003282008,0.0004889119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000463751,0.00007955138,0.004043565,0.001146867,0.00003750216,0.002239622,0.1090857,0.0003690244,0.000434324,0.7602482,0.07882497,0.04344426],"study_design_scores_gemma":[0.00001113442,0.00009018321,0.005724598,0.002638,0.00005400391,0.002763861,0.278415,0.0002886968,0.0003585855,0.1730961,0.5364634,0.00009634935],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03486136,0.1001641,0.001259286,0.6992722,0.009700222,0.00003490554,0.0001694164,0.00005953783,0.154479],"genre_scores_gemma":[0.7639144,0.08976343,0.001232661,0.1260435,0.007635679,0.00004902787,0.00009641064,0.00005294174,0.01121202],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01853512,"threshold_uncertainty_score":0.06394035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03060702123815937,"score_gpt":0.3431422755234216,"score_spread":0.3125352542852622,"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."}}