{"id":"W3185455682","doi":"10.1111/pops.12774","title":"The COVID‐19–Social Identity–Digital Media Nexus in India: Polarization and Blame","year":2021,"lang":"en","type":"article","venue":"Political Psychology","topic":"Social Media and Politics","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Blame; Social psychology; Political science; Social media; Polarization (electrochemistry); Social identity theory; Psychology; Politics; Collective identity; Sociology; Social group; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0007133098,0.0001955451,0.0001834855,0.001078949,0.002532457,0.001337047,0.0004212318,0.0003252023,0.01878639],"category_scores_gemma":[0.001857238,0.0001936787,0.0003925274,0.001824989,0.0009012145,0.001008342,0.002031592,0.001831802,0.001595892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007596004,"about_ca_system_score_gemma":0.001538704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05380842,"about_ca_topic_score_gemma":0.06841961,"domain_scores_codex":[0.9994559,0.0001684944,0.00001800815,0.00004186613,0.00008297149,0.0002328882],"domain_scores_gemma":[0.9978568,0.0007443907,0.0005882469,0.0002423091,0.0002426343,0.000325567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008730669,0.0003215047,0.9629941,0.00007293405,0.00005859471,0.000214692,0.01410419,0.0001093985,0.0002279892,0.002045015,0.004789848,0.01497443],"study_design_scores_gemma":[0.000007002808,0.00009324086,0.9277043,0.00005454555,0.00004888238,0.0002019921,0.06308012,0.0003762078,0.0002797054,0.0005460175,0.007592873,0.00001500768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991495,0.00005600071,0.000176997,0.0005491656,0.00002275682,0.00002630539,0.0009549533,0.000006864933,0.006711791],"genre_scores_gemma":[0.9948568,0.00007928791,0.0001797939,0.0001748522,0.00001635308,0.00005675511,0.0005947521,0.000005336316,0.004036115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05380842,"threshold_uncertainty_score":0.1069905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05269653616262123,"score_gpt":0.4244932709243661,"score_spread":0.3717967347617449,"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."}}