{"id":"W2143168274","doi":"","title":"\"Cross-firm\" Inventors and Social Networks: Localized Knowledge Spillovers Revisited","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Externality; Interpersonal ties; Knowledge creation; Test (biology); Sociology; Economic geography; Economics; Business; Social science; Microeconomics; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003494491,0.0003962489,0.0008771414,0.003595001,0.001226117,0.002774115,0.001074332,0.001197046,0.00510157],"category_scores_gemma":[0.01063054,0.000268492,0.0007671261,0.004460412,0.004635142,0.005299451,0.004371073,0.000889843,0.0003031786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001817824,"about_ca_system_score_gemma":0.0008504328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008989102,"about_ca_topic_score_gemma":0.009080694,"domain_scores_codex":[0.9981241,0.0009009729,0.0000519574,0.0003536619,0.0002209974,0.0003483828],"domain_scores_gemma":[0.9835323,0.01123795,0.003092521,0.0008824556,0.0006083453,0.0006463785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004041681,0.0002679238,0.6191311,0.0007521576,0.0007409572,0.003426401,0.03661738,0.01695233,0.002114933,0.1946652,0.001855441,0.123072],"study_design_scores_gemma":[0.0001377344,0.0004378809,0.7612309,0.0006279834,0.0009400729,0.001342987,0.04789097,0.02240046,0.001697481,0.1502228,0.01295198,0.0001187958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735535,0.002165982,0.008367197,0.003368588,0.00001626283,0.00003580225,0.0001543646,0.00003350013,0.01230474],"genre_scores_gemma":[0.9984972,0.0005216963,0.000363713,0.00008884162,0.0000224982,0.0000132433,0.00002741688,0.000002481549,0.0004628532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008989102,"threshold_uncertainty_score":0.01848084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04899250026501617,"score_gpt":0.3210431871311728,"score_spread":0.2720506868661566,"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."}}