{"id":"W2075359494","doi":"10.1016/j.jesp.2012.04.008","title":"The relational versus collective “We” and intergroup allocation: The role of nested group categorization","year":2012,"lang":"en","type":"article","venue":"Journal of Experimental Social Psychology","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Superordinate goals; Categorization; Ingroups and outgroups; Social psychology; Competition (biology); Psychology; Context (archaeology); Group (periodic table); Group decision-making; Computer science; Artificial intelligence","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":[0.005708074,0.0002156909,0.0003987805,0.0005482897,0.00135009,0.003542808,0.000979697,0.001210496,0.00747344],"category_scores_gemma":[0.02854456,0.0002966167,0.0002637744,0.0004190608,0.005023954,0.005275673,0.002231546,0.00118551,0.0003504782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006563371,"about_ca_system_score_gemma":0.0008140571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001784301,"about_ca_topic_score_gemma":0.002956805,"domain_scores_codex":[0.9963741,0.002312827,0.00007395163,0.0004978498,0.0004867151,0.0002544301],"domain_scores_gemma":[0.9801122,0.01319804,0.002214559,0.002305113,0.0007136225,0.001456381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.003956835,0.002280826,0.1798151,0.0003838446,0.0004308529,0.0003840287,0.05558544,0.005505689,0.04507282,0.5927159,0.002363064,0.1115056],"study_design_scores_gemma":[0.0003853295,0.0006133503,0.4374531,0.0001166961,0.0002398932,0.0003759744,0.01854398,0.02753933,0.003927054,0.5056615,0.004964455,0.0001793216],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725155,0.0001536494,0.006486957,0.0008737479,0.00003635327,0.00002687643,0.0000206127,0.00001207309,0.01987428],"genre_scores_gemma":[0.9982023,0.00002576443,0.001210644,0.00004653644,0.00001317357,0.00001198669,0.000009962425,0.0000120566,0.0004674704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00747344,"threshold_uncertainty_score":0.03018749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04678840124720814,"score_gpt":0.3861484664215811,"score_spread":0.3393600651743729,"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."}}