{"id":"W2595503753","doi":"10.2139/ssrn.2930077","title":"Mapping the Global Legal Landscape of Blockchain Technologies","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"Blockchain; Geography; Environmental resource management; Data science; Computer science; Computer security; Environmental science","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":[0.001672657,0.0002127615,0.0002386432,0.006782752,0.001290125,0.006099056,0.0005340485,0.0008265474,0.01146461],"category_scores_gemma":[0.008904277,0.0002294881,0.0002688748,0.009529446,0.003223198,0.008793012,0.002340576,0.001262187,0.0006655669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002378932,"about_ca_system_score_gemma":0.001743614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004706239,"about_ca_topic_score_gemma":0.01067632,"domain_scores_codex":[0.9987211,0.0004775608,0.00005630275,0.0001983307,0.0003196781,0.0002270261],"domain_scores_gemma":[0.9946109,0.002764534,0.000787125,0.0006576399,0.0008523277,0.0003273883],"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":[0.0001282961,0.00005816042,0.02902648,0.0002565431,0.00003786257,0.000499056,0.002823336,0.01336969,0.001389312,0.8181265,0.003872177,0.1304126],"study_design_scores_gemma":[0.0000316986,0.0001599898,0.08905129,0.001088821,0.00007591463,0.001155783,0.01286307,0.0417112,0.001957018,0.6673312,0.1845083,0.00006576107],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6776583,0.005462941,0.02726888,0.009737955,0.00006879537,0.00007414706,0.001563431,0.0001347115,0.2780307],"genre_scores_gemma":[0.9887463,0.002202087,0.00445662,0.0001571993,0.00002499582,0.00002456644,0.0005706344,0.00006506923,0.003752448],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01146461,"threshold_uncertainty_score":0.03835291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012444764817718,"score_gpt":0.2384255815305367,"score_spread":0.2283011338823595,"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."}}