{"id":"W3039107198","doi":"10.1007/s00199-020-01261-5","title":"Dynamic coordination via organizational routines","year":2020,"lang":"en","type":"article","venue":"Economic Theory","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Directorate for Social, Behavioral and Economic Sciences","keywords":"Ranking (information retrieval); Action (physics); Computer science; Overconfidence effect; Stochastic game; Organizational learning; Task (project management); Knowledge management; Microeconomics; Artificial intelligence; Psychology; Economics; Social psychology; Management","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":[0.001745347,0.0003501866,0.0005176152,0.0009377156,0.0007932758,0.003543862,0.0008900665,0.001259376,0.006131437],"category_scores_gemma":[0.01249596,0.0004155189,0.0004543146,0.0009488749,0.002634595,0.004133383,0.002024328,0.0009266638,0.000746668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009563499,"about_ca_system_score_gemma":0.001270371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001291544,"about_ca_topic_score_gemma":0.0008984566,"domain_scores_codex":[0.9980648,0.0009553937,0.00009290537,0.0003969826,0.0002645346,0.0002254359],"domain_scores_gemma":[0.99148,0.004721297,0.001148006,0.00143736,0.0006045638,0.0006087392],"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":[0.00009263368,0.00008969977,0.002114269,0.00006306738,0.00005304782,0.0001209755,0.0009925067,0.03235963,0.001873912,0.9324456,0.001103636,0.02869112],"study_design_scores_gemma":[0.00004504574,0.00008868786,0.002790377,0.00003272067,0.00003476317,0.00005753268,0.0007227568,0.111847,0.0007091853,0.8794199,0.004224187,0.00002787931],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3493766,0.0003260018,0.5343483,0.00244569,0.0001225079,0.0001392085,0.0001399746,0.0003776663,0.1127242],"genre_scores_gemma":[0.9756321,0.00008765514,0.01867696,0.00005805631,0.0000227562,0.0001091252,0.0000421426,0.00003078793,0.005340348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006131437,"threshold_uncertainty_score":0.02051169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03385124125760292,"score_gpt":0.3122351428538522,"score_spread":0.2783839015962493,"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."}}