{"id":"W7037909773","doi":"","title":"Financial technology innovation in the financial services industry of Vancouver B.C.","year":2017,"lang":"en","type":"dissertation","venue":"TU/e Research Portal (Eindhoven University of Technology)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Financial services; FinTech; Financial analysis; Financial plan; Information technology; Financial innovation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004323128,0.0001598688,0.0001451855,0.00102786,0.003247505,0.003402541,0.0002914606,0.0008448428,0.01491656],"category_scores_gemma":[0.0009797688,0.0001359051,0.0001040257,0.003006859,0.000700403,0.0005572729,0.0008165206,0.0009864988,0.001573732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01872278,"about_ca_system_score_gemma":0.03294756,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7886229,"about_ca_topic_score_gemma":0.9354825,"domain_scores_codex":[0.9994966,0.00004165754,0.00001198174,0.00005183005,0.0001417193,0.0002562007],"domain_scores_gemma":[0.9987954,0.0001181182,0.00008142714,0.0000131558,0.0003836573,0.0006082693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005242812,0.0003634389,0.1269795,0.0008564669,0.00004042815,0.002404077,0.01499962,0.001081634,0.003359596,0.03668341,0.4004633,0.4122443],"study_design_scores_gemma":[0.00002930383,0.00007464849,0.4617381,0.000394363,0.0000140948,0.0003480233,0.01641016,0.0006174031,0.001431601,0.0009620098,0.5179496,0.00003060764],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6133696,0.0126709,0.0002947215,0.03574308,0.0005868605,0.0001286267,0.005726176,0.00006066075,0.3314194],"genre_scores_gemma":[0.5681315,0.009348502,0.0005791747,0.001114998,0.00006689424,0.00003069976,0.001304159,0.00001804023,0.419406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2113771,"threshold_uncertainty_score":0.4252439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0413381648574114,"score_gpt":0.2635401260145283,"score_spread":0.2222019611571169,"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."}}