{"id":"W4387737569","doi":"10.1080/2157930x.2023.2268915","title":"Knowledge accumulation at the regional level and the role of intellectual property rights","year":2023,"lang":"en","type":"article","venue":"Innovation and Development","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Intellectual property; Dual (grammatical number); Investment (military); Property rights; Business; Developing country; Economic geography; Economics; Economic system; Economic growth; Political science; Law; Microeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006056349,0.00008825453,0.00008922927,0.0001734811,0.0004877597,0.0000707615,0.00008141318,0.00003569794,0.0001392934],"category_scores_gemma":[0.0001579981,0.00003649865,0.00001082056,0.0007812353,0.0001427527,0.0001726219,0.0001951272,0.00006658665,0.0002510561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001528563,"about_ca_system_score_gemma":0.00002894684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000116221,"about_ca_topic_score_gemma":0.0001032345,"domain_scores_codex":[0.9993431,0.00001538348,0.0002605158,0.0001277715,0.0001488992,0.000104309],"domain_scores_gemma":[0.9994354,0.0001260199,0.00009840701,0.00007236645,0.0002644778,0.00000334638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001702924,0.0001504232,0.01086197,0.0002915182,0.0002317609,0.000001570144,0.03251082,0.00006493014,0.002985681,0.2893974,0.1252161,0.5365849],"study_design_scores_gemma":[0.0007888426,0.000005308299,0.01406867,0.0000409118,0.000007558965,0.000002543544,0.0005509753,0.009887535,0.001757312,0.00719673,0.9655677,0.0001258722],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764071,0.000140394,0.0002735745,0.001825761,0.0001543467,0.000401599,7.595644e-7,0.00005186443,0.02074463],"genre_scores_gemma":[0.993413,0.00001096185,0.00004058292,0.0007797306,0.00009880771,0.00002524969,0.00005125744,0.000006258134,0.005574109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8403516,"threshold_uncertainty_score":0.3751502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2735460943220425,"score_gpt":0.2784407669557197,"score_spread":0.004894672633677155,"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."}}