{"id":"W4386287549","doi":"10.2139/ssrn.4553622","title":"Political Sentiment and Innovation: Evidence from Patenters","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Alberta","funders":"","keywords":"Politics; Political science; Business; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002515726,0.000171574,0.0004055348,0.001939181,0.001115329,0.003280506,0.0003236052,0.001387712,0.0105952],"category_scores_gemma":[0.02084601,0.0001519138,0.0002802551,0.003077631,0.001104005,0.001740438,0.0008708925,0.0009292118,0.001195422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005327942,"about_ca_system_score_gemma":0.0004709772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005593865,"about_ca_topic_score_gemma":0.006590199,"domain_scores_codex":[0.9989342,0.0003290733,0.00005954154,0.0001565129,0.0002845079,0.0002361582],"domain_scores_gemma":[0.9508145,0.02940584,0.01399138,0.001198092,0.002589548,0.002000634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001356121,0.001015332,0.9252731,0.0002450921,0.0002951167,0.0004817296,0.005184829,0.0002517058,0.001473601,0.00512308,0.004696385,0.05460394],"study_design_scores_gemma":[0.00009481289,0.0002792042,0.985402,0.00006750056,0.000214848,0.0001320595,0.004306411,0.0003150643,0.0006903675,0.001821158,0.006656542,0.00002012232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815634,0.001074525,0.0000805145,0.001256752,0.00002287204,0.000009933434,0.0002902742,0.000003288755,0.01569852],"genre_scores_gemma":[0.9964539,0.001002542,0.00003392922,0.0002031186,0.00011736,0.000007584043,0.0001896409,0.000003667446,0.001988193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0105952,"threshold_uncertainty_score":0.0354445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05346873626480564,"score_gpt":0.3562089414883446,"score_spread":0.3027402052235389,"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."}}