{"id":"W4385852306","doi":"10.20944/preprints202308.1161.v1","title":"Augmented Gravity Model of Trade with Social Network Analysis","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Gravity model of trade; Economics; Trade barrier; International trade; International economics; Economic integration; Bilateral trade; Openness to experience; International free trade agreement; Globalization; Free trade; China; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006972096,0.0005103256,0.001357552,0.0003397237,0.0001796333,0.00002755094,0.0008843215,0.0002022772,0.0004591982],"category_scores_gemma":[0.000005467829,0.0005082934,0.001153301,0.001344562,0.0001591351,0.00005359974,0.001749033,0.0009111518,0.00004014395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008967739,"about_ca_system_score_gemma":0.0001606022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001129152,"about_ca_topic_score_gemma":0.0001699661,"domain_scores_codex":[0.996831,0.000194035,0.000808978,0.00111088,0.0005318157,0.0005233124],"domain_scores_gemma":[0.9973832,0.00007101109,0.0008880149,0.001408777,0.0001353197,0.0001136895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004392627,0.0001619132,0.6608651,0.000036793,0.005493443,0.000001029066,0.0003022559,0.3290802,0.0002137009,0.003243873,0.0002751371,0.0002826341],"study_design_scores_gemma":[0.0004684773,0.00002100779,0.584526,0.0001546078,0.008036913,1.30112e-7,0.0001166456,0.2629029,0.003392632,0.1391286,0.0001580274,0.001094046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8680002,0.0000144852,0.1270352,0.0003519394,0.00006930161,0.0006212241,0.0002036335,0.0004204301,0.003283582],"genre_scores_gemma":[0.9960477,0.000008366118,0.001926083,0.00001636242,0.0004428766,0.0002341465,0.000627916,0.00007296605,0.0006235819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1358847,"threshold_uncertainty_score":0.9997368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1206434143506074,"score_gpt":0.3510251221400022,"score_spread":0.2303817077893948,"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."}}