{"id":"W3125174472","doi":"","title":"Patent Rights, Innovation and Firm Exit","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Endogeneity; Collateral; Download; Business; Patent troll; Exploit; Developing country; Patent law; Economics; Finance; Intellectual property; Law; Economic growth; Political science; Econometrics","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":[0.004495611,0.0002791013,0.0008212994,0.001881632,0.0008345255,0.002494683,0.0009373705,0.002194859,0.009308908],"category_scores_gemma":[0.0377795,0.0001691788,0.001083742,0.00165736,0.00212014,0.00268429,0.001844782,0.002865292,0.0009090694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148339,"about_ca_system_score_gemma":0.000957143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004134102,"about_ca_topic_score_gemma":0.003221668,"domain_scores_codex":[0.9979032,0.0006239078,0.0001512621,0.0002828347,0.0002958023,0.0007428452],"domain_scores_gemma":[0.8871505,0.06811804,0.03597876,0.002168298,0.001642576,0.004941674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007607311,0.001147533,0.9215718,0.00014684,0.0002501956,0.001232775,0.0006320063,0.01059628,0.001013428,0.02951284,0.001223425,0.03191212],"study_design_scores_gemma":[0.0002141737,0.001444047,0.8986356,0.0001273288,0.0003213653,0.0008706606,0.001196258,0.02281231,0.001699987,0.06716707,0.005426942,0.00008418118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895306,0.001557042,0.001471845,0.001351978,0.00002295742,0.00002892474,0.0002899783,0.0000199852,0.005726638],"genre_scores_gemma":[0.997589,0.0003633554,0.0001113457,0.00006333892,0.00005753593,0.00001060872,0.0001783343,0.00000333924,0.001623136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009308908,"threshold_uncertainty_score":0.0311414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05642860333126444,"score_gpt":0.225445524143174,"score_spread":0.1690169208119096,"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."}}