{"id":"W4380089727","doi":"10.2139/ssrn.4474609","title":"Market Competition and Strategic Interaction in the Spanish Fintech Industry","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Competition (biology); Industrial organization; Business; Strategic interaction; Marketing; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001445014,0.0002242478,0.0004277617,0.001761544,0.001549998,0.004850089,0.000471421,0.001606355,0.007992095],"category_scores_gemma":[0.002882408,0.0001150985,0.0002601978,0.002456159,0.001593094,0.001316596,0.001528303,0.0006885093,0.0005337343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006461778,"about_ca_system_score_gemma":0.003688512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1024895,"about_ca_topic_score_gemma":0.1153048,"domain_scores_codex":[0.9988514,0.0003022129,0.00003134912,0.0001267715,0.0001684744,0.0005197774],"domain_scores_gemma":[0.9975988,0.001019381,0.0003579635,0.00004129176,0.0003004244,0.0006821951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003406363,0.002030778,0.5342643,0.0004049589,0.000266848,0.004843981,0.02700735,0.01320201,0.003559413,0.2524857,0.02433955,0.1341886],"study_design_scores_gemma":[0.0003676669,0.0004462752,0.827035,0.0001863082,0.000123333,0.0003229627,0.0739731,0.01251973,0.0006645649,0.04536402,0.03888834,0.0001086809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9442423,0.001086878,0.0001966048,0.001253536,0.00001497406,0.00000921737,0.00007882707,0.000006384898,0.0531112],"genre_scores_gemma":[0.997582,0.00009943551,0.00002072723,0.00003602862,0.000007334772,0.000002122568,0.00002813937,0.000001109093,0.00222316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1024895,"threshold_uncertainty_score":0.2037858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03320670612740785,"score_gpt":0.2575549153771572,"score_spread":0.2243482092497494,"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."}}