{"id":"W2754890484","doi":"10.5430/bmr.v6n3p65","title":"FinTech - The digital (R)Evolution in the German Banking Sector?","year":2017,"lang":"en","type":"article","venue":"Business and Management Research","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"German; Financial services; Business; Order (exchange); Context (archaeology); FinTech; Investment (military); Financial sector; Retail banking; Service (business); Asset (computer security); Finance; Marketing; Economics; Computer science","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":[0.0009025628,0.0002004342,0.0001289871,0.00117484,0.001038869,0.005022482,0.0002844089,0.001254587,0.009896046],"category_scores_gemma":[0.001358351,0.00009124229,0.0001090848,0.002080812,0.00295882,0.003430217,0.001378407,0.0005666421,0.001005006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003610744,"about_ca_system_score_gemma":0.001701324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01074837,"about_ca_topic_score_gemma":0.009358259,"domain_scores_codex":[0.999359,0.0001796105,0.00002147589,0.0001175634,0.0001459571,0.0001765229],"domain_scores_gemma":[0.9992968,0.000161305,0.0001585312,0.00007098573,0.0001026722,0.0002096321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001007165,0.00007464728,0.01695097,0.0003123328,0.00001343507,0.0005944778,0.005626408,0.0004930655,0.001613378,0.6485896,0.03418013,0.2914509],"study_design_scores_gemma":[0.00001760165,0.0001189416,0.06983993,0.0008360447,0.00002503489,0.001170536,0.0143668,0.001438038,0.001789582,0.0508462,0.8595089,0.00004220867],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4913207,0.04699636,0.005206462,0.0821599,0.0006697891,0.00004032919,0.0006315285,0.0001943613,0.3727807],"genre_scores_gemma":[0.963338,0.01032515,0.001336777,0.003238035,0.0001555332,0.00001088608,0.0001110082,0.00001610547,0.02146851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01074837,"threshold_uncertainty_score":0.03310555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06412869701501138,"score_gpt":0.3219368768096018,"score_spread":0.2578081797945904,"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."}}