{"id":"W4401234282","doi":"10.1111/caje.12731","title":"Gravity for cross‐border licensing and the impact of deep trade agreements: Theory and evidence","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Gravity model of trade; International trade; Gravity equation; Economics; International economics; Geology; Bilateral trade; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00417638,0.0004753701,0.0009926037,0.002714446,0.0007799173,0.003097066,0.00128677,0.001575856,0.01658221],"category_scores_gemma":[0.02796931,0.000307351,0.001604366,0.002692221,0.00705061,0.003556806,0.002707453,0.00181346,0.0007852565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001927081,"about_ca_system_score_gemma":0.001351055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00962174,"about_ca_topic_score_gemma":0.003307002,"domain_scores_codex":[0.9978207,0.0009259032,0.0001147464,0.0003692522,0.0004993984,0.0002699362],"domain_scores_gemma":[0.9274912,0.04470921,0.01893335,0.004331111,0.002459776,0.002075391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004977197,0.0005463158,0.6337164,0.0007349769,0.001218955,0.0008882151,0.001031028,0.04245589,0.0009738747,0.2395134,0.003973039,0.07445021],"study_design_scores_gemma":[0.0004746188,0.0005609126,0.5978335,0.0005849436,0.001469263,0.0006074584,0.003309097,0.07833514,0.001939623,0.2961868,0.01857444,0.0001242731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9349725,0.008294174,0.01091969,0.007052273,0.00006258887,0.00006378123,0.0003095939,0.0001496454,0.03817561],"genre_scores_gemma":[0.9983973,0.0007665594,0.0002886944,0.0000887434,0.00003825041,0.000004894839,0.00005529385,0.000007006018,0.0003533453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01658221,"threshold_uncertainty_score":0.05547303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1898866593430496,"score_gpt":0.2472181991534615,"score_spread":0.05733153981041192,"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."}}