{"id":"W47700125","doi":"10.2139/ssrn.2576632","title":"Trust, Competition and Innovation: Theory and Evidence from German Car Manufacturers","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Public Procurement and Policy","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"","keywords":"German; Competition (biology); Industrial organization; Business; Marketing; Geography","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":[0.003831781,0.0002498959,0.0004744473,0.002556214,0.001682444,0.00268629,0.0006317268,0.001611347,0.006200775],"category_scores_gemma":[0.01659197,0.0002787569,0.0003274354,0.004775544,0.003005622,0.002482109,0.001413345,0.001090575,0.0004535442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003840874,"about_ca_system_score_gemma":0.001862346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06078826,"about_ca_topic_score_gemma":0.06272785,"domain_scores_codex":[0.9981418,0.000708023,0.0001261702,0.0001961666,0.0004696682,0.0003582653],"domain_scores_gemma":[0.9306467,0.05703643,0.007538251,0.001350342,0.002622325,0.0008059837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001870672,0.0009166925,0.7876239,0.001472686,0.0006768345,0.001814586,0.04045546,0.005092732,0.0007283576,0.05988169,0.005259977,0.09420628],"study_design_scores_gemma":[0.0002302377,0.0006181203,0.8866228,0.0008907518,0.000834599,0.0006439558,0.0660741,0.003856416,0.001520185,0.01711124,0.02145381,0.0001437755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871348,0.003130725,0.0002731902,0.0009889762,0.000004932873,0.00001041859,0.0001781799,0.000002603428,0.008276167],"genre_scores_gemma":[0.9986193,0.0008086606,0.00004299662,0.00006188362,0.000003988599,0.000003697106,0.00008158813,0.00000105298,0.0003767117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06078826,"threshold_uncertainty_score":0.1208689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02282835325873181,"score_gpt":0.2659385626178054,"score_spread":0.2431102093590735,"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."}}