{"id":"W4409892734","doi":"10.2139/ssrn.5198504","title":"Patents, Transfer Efficiency, and Stock Returns: Evidence from China","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Stock (firearms); China; Financial economics; Business; Economics; Monetary economics; 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":[0.001200797,0.0004484289,0.0005453863,0.003409739,0.0007213349,0.001210953,0.0005835209,0.0005028381,0.00327435],"category_scores_gemma":[0.002653928,0.0002065585,0.0005343576,0.005640911,0.001158254,0.0009478859,0.0008213542,0.0004290835,0.0003601499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327192,"about_ca_system_score_gemma":0.001418616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0775015,"about_ca_topic_score_gemma":0.08334317,"domain_scores_codex":[0.9994745,0.00008076255,0.00005838038,0.0001052114,0.0001477719,0.0001334271],"domain_scores_gemma":[0.9956594,0.001272452,0.001742658,0.0003203632,0.0005673122,0.0004377806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002746606,0.0001199894,0.9821553,0.00005941962,0.0002408981,0.0004370705,0.0004628152,0.0007337151,0.00062056,0.0008958608,0.0005042796,0.0134954],"study_design_scores_gemma":[0.00002243398,0.00006177755,0.9982606,0.000007637466,0.0001131803,0.0000520787,0.0001981563,0.0004609561,0.000212663,0.0001721497,0.0004314029,0.000006957926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981298,0.0004644836,0.00005200186,0.00009516411,0.000002231651,0.000004457681,0.0002562242,0.000003172291,0.0009924208],"genre_scores_gemma":[0.9988662,0.0003036488,0.00002368739,0.00001658205,0.00001078248,0.000001937438,0.0003900693,0.000001297889,0.0003856746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0775015,"threshold_uncertainty_score":0.1541008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796180877231639,"score_gpt":0.2247044697284217,"score_spread":0.2067426609561053,"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."}}