{"id":"W3122227326","doi":"10.11114/bms.v4i3.3523","title":"Loyalty Points on the Blockchain","year":2018,"lang":"en","type":"article","venue":"Business and Management Studies","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Blockchain; Implementation; Loyalty; Variety (cybernetics); Incentive; Scalability; Computer security; Computer science; Loyalty business model; Business; Usability; Marketing; Internet privacy; Economics; Database","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002311693,0.00009146423,0.00009254469,0.00006175297,0.000498897,0.00003696954,0.0003799387,0.00002226351,0.000003682842],"category_scores_gemma":[0.0000199431,0.00005501644,0.00001253169,0.0004016506,0.0002635078,0.00002374799,0.0006966808,0.00004318505,0.00003583973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000797188,"about_ca_system_score_gemma":0.000002164682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006619173,"about_ca_topic_score_gemma":0.00001672365,"domain_scores_codex":[0.9994106,0.00001550363,0.00008844143,0.000250969,0.00009338118,0.0001411578],"domain_scores_gemma":[0.9993539,0.00004366729,0.00003775335,0.0004507901,0.000101161,0.00001272932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001584106,0.00003172212,0.00008486873,0.00001822908,0.00005320009,0.000002295056,0.0002078916,6.437074e-7,0.000001703471,0.9626535,0.01172099,0.02522345],"study_design_scores_gemma":[0.0008069103,0.0001822145,0.09410062,0.0001585876,0.00006247269,0.000009554547,0.001545254,0.006155775,0.0004737357,0.4439457,0.4519764,0.0005826718],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3080657,0.002925337,0.2320211,0.4179638,0.001031994,0.001741123,0.000003519362,0.001071104,0.03517632],"genre_scores_gemma":[0.9919726,0.00102899,0.003423514,0.002803739,0.0000578013,0.0001391534,1.772593e-7,0.000004025843,0.0005700156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6839069,"threshold_uncertainty_score":0.3837163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457504208607962,"score_gpt":0.2617698080509436,"score_spread":0.2371947659648639,"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."}}