{"id":"W2996922479","doi":"","title":"Fintech In Canada","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Business; FinTech; Digital currency; Lagging; Financial services; Payment service provider; Agency (philosophy); Payment; Finance; Commerce","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006750196,0.0005239235,0.0004057999,0.001884778,0.01470596,0.006508246,0.00118149,0.002174306,0.1070967],"category_scores_gemma":[0.002786901,0.0003165311,0.0004580432,0.003269563,0.001800627,0.001475511,0.002848853,0.002313025,0.01067473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08045527,"about_ca_system_score_gemma":0.2216335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9886321,"about_ca_topic_score_gemma":0.9936941,"domain_scores_codex":[0.9975467,0.00006248859,0.00004525673,0.000244779,0.0008966543,0.001204069],"domain_scores_gemma":[0.9965497,0.0001255006,0.00008101303,0.00008111136,0.001675476,0.001487041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000738349,0.00003765562,0.006612328,0.0002075963,0.00001327224,0.001012569,0.0013754,0.0003341878,0.0004283967,0.1346573,0.7701332,0.08511434],"study_design_scores_gemma":[0.000008391547,0.00000782355,0.006936598,0.00009664532,0.000004780443,0.00009708439,0.0009961352,0.0001393193,0.0001304863,0.001164441,0.9903993,0.00001906065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02731682,0.006445412,0.0008806871,0.05482454,0.002208936,0.0001655225,0.01005454,0.0006211087,0.8974824],"genre_scores_gemma":[0.1056985,0.002928799,0.0008864896,0.008266854,0.0001511627,0.00005676482,0.003149565,0.0001353206,0.8787266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1070967,"threshold_uncertainty_score":0.5837466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004010016201944381,"score_gpt":0.1695739160621311,"score_spread":0.1655638998601867,"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."}}