{"id":"W2121131595","doi":"10.3386/w11849","title":"Inertia and Incentives: Bridging Organizational Economics and Organizational Theory","year":2005,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bridging (networking); Organizational economics; Incentive; Organizational learning; Inertia; Organizational commitment; Economics; Business; Microeconomics; Management; Computer science; Physics","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":[0.008723684,0.0005508573,0.0008612711,0.004543187,0.001880959,0.007457117,0.001109934,0.002727487,0.00347518],"category_scores_gemma":[0.01630331,0.0004590205,0.0005774574,0.003548081,0.0166444,0.009229633,0.003589195,0.00298088,0.0002398931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005613764,"about_ca_system_score_gemma":0.004181132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001811873,"about_ca_topic_score_gemma":0.001420248,"domain_scores_codex":[0.9937242,0.003580265,0.0002819064,0.0004815662,0.001267558,0.0006645293],"domain_scores_gemma":[0.9690852,0.02417924,0.002652888,0.001359373,0.001327584,0.001395717],"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":[0.000006801938,0.00002249376,0.0007495116,0.00004611035,0.00000604606,0.00002728477,0.0004745852,0.001354565,0.00004425441,0.990214,0.0003724532,0.006681879],"study_design_scores_gemma":[0.00001131584,0.00001307469,0.001294969,0.0000865131,0.000004740371,0.00002469308,0.0003733195,0.002096494,0.0000433454,0.9876058,0.008436143,0.000009674461],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1753902,0.02730904,0.388312,0.1082839,0.00102754,0.0002252156,0.0001930814,0.0001644145,0.2990945],"genre_scores_gemma":[0.9629554,0.007771022,0.02218641,0.001607807,0.0009527427,0.0001822568,0.00005341365,0.00003633924,0.004254635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008723684,"threshold_uncertainty_score":0.04613584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1341349315231555,"score_gpt":0.3897397166847937,"score_spread":0.2556047851616382,"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."}}