{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003404928,0.00008523097,0.0001604709,0.00005858681,0.0005380097,0.0001871047,0.0001776735,0.0002774464,0.00009206224],"category_scores_gemma":[0.007034865,0.00008057496,0.00004498925,0.0003630774,0.00145551,0.0001969152,0.00005618717,0.000261881,0.00005228146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001285157,"about_ca_system_score_gemma":0.0003942165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009098266,"about_ca_topic_score_gemma":0.002046967,"domain_scores_codex":[0.9981965,0.0003472892,0.0002359963,0.0002196117,0.0002684073,0.0007322225],"domain_scores_gemma":[0.9979328,0.001404999,0.00003904317,0.0001030567,0.00007125369,0.0004488765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006013432,0.00003975739,0.05956911,0.000002802673,0.000006835732,0.00003880388,0.009705454,1.459551e-8,0.00001112289,0.9294495,0.0006394408,0.0005311337],"study_design_scores_gemma":[0.000527792,0.0000176106,0.1681105,0.000002964131,0.00001315951,0.00001593143,0.01999733,0.000001706569,0.000005223192,0.7259739,0.0851974,0.0001364375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7111779,0.0006456606,0.0002528421,0.1429633,0.003122918,0.000226808,0.00008173064,0.00008706516,0.1414417],"genre_scores_gemma":[0.9897572,0.00005229297,0.00001400342,0.008779858,0.001137983,0.000008499972,0.00001621024,0.000009005606,0.0002248866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2785793,"threshold_uncertainty_score":0.8421898,"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."}}