{"id":"W4402039310","doi":"10.2139/ssrn.4924974","title":"Analysing Risks & Opportunities in UK-India FinTech Free Trade Agreement (FTA)","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kimberly-Clark (Canada)","funders":"Economic and Social Research Council","keywords":"Free trade agreement; International economics; Economics; International trade; Business; Free trade","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":[0.00155431,0.0001144749,0.000169813,0.002322755,0.001435302,0.005503287,0.0006804756,0.001216464,0.007388906],"category_scores_gemma":[0.008679673,0.0001879155,0.0002581757,0.003563235,0.0009109725,0.001937806,0.00223109,0.001771885,0.0009250371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007760125,"about_ca_system_score_gemma":0.003038804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08640849,"about_ca_topic_score_gemma":0.1473092,"domain_scores_codex":[0.9980158,0.000372302,0.00009547119,0.0001467527,0.0006689343,0.000700729],"domain_scores_gemma":[0.9867218,0.007134674,0.002551381,0.000290168,0.001708739,0.001593241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001133431,0.0004029418,0.811694,0.0002123253,0.00009502024,0.003385262,0.02100323,0.00963398,0.001045349,0.09192806,0.01728542,0.04218097],"study_design_scores_gemma":[0.00001982431,0.0001867915,0.8979039,0.000124841,0.00005292138,0.0003705441,0.05549127,0.007444132,0.0009484161,0.005948299,0.03144042,0.0000685624],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701298,0.0002336331,0.0002845816,0.00091755,0.0000143131,0.00002433468,0.001106909,0.00001874942,0.02727005],"genre_scores_gemma":[0.9940233,0.00004548444,0.00006174784,0.00003856759,0.000006075028,0.000009853675,0.0002403932,0.000005216525,0.005569451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08640849,"threshold_uncertainty_score":0.1718111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05943480323281323,"score_gpt":0.2789483362188288,"score_spread":0.2195135329860155,"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."}}