{"id":"W1775603347","doi":"10.1002/smj.2116","title":"Unmixed signals: How reputation and status affect alliance formation","year":2013,"lang":"en","type":"article","venue":"Strategic Management Journal","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":227,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Reputation; Interdependence; Alliance; Congruence (geometry); Affect (linguistics); Business; Panel data; Marketing; Industrial organization; Business administration; Psychology; Social psychology; Economics; Political science; Econometrics; 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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004651182,0.0002068439,0.0001582606,0.0002762059,0.0003803927,0.002545709,0.0001378898,0.00006391115,0.0004716802],"category_scores_gemma":[0.00001225124,0.0001793365,0.00004354974,0.0005713938,0.00004565057,0.005084333,0.00005840997,0.0002078136,0.0001569395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004284719,"about_ca_system_score_gemma":0.00001276537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004331875,"about_ca_topic_score_gemma":0.000009178651,"domain_scores_codex":[0.9987149,0.00002227606,0.000332789,0.0002197598,0.000327162,0.0003831162],"domain_scores_gemma":[0.9990174,0.00001384711,0.0004803913,0.000130941,0.0003323243,0.00002508674],"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":[0.00006732997,0.0001135493,0.002197809,0.001075645,0.0001461568,0.00008983079,0.00006420114,0.0003472255,0.001953933,0.9452599,0.00701027,0.04167413],"study_design_scores_gemma":[0.002354787,0.00007342025,0.04384144,0.0003101054,0.0001713782,0.0001017788,0.006578125,0.04472878,0.00009150142,0.8900566,0.01091868,0.0007734339],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7169363,0.0003229009,0.005576923,0.005754953,0.0006799126,0.0008936397,0.000001067482,0.0001697905,0.2696645],"genre_scores_gemma":[0.9969016,0.0002832222,0.0008549186,0.0006781901,0.0005999357,0.00003708711,0.00004466002,0.00001842342,0.0005820002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2799652,"threshold_uncertainty_score":0.9984897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03348163255515199,"score_gpt":0.2372707296633466,"score_spread":0.2037890971081946,"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."}}