{"id":"W165545843","doi":"10.59403/txn5pt","title":"The Rubik Model: An Alternative for Automatic Tax Information Exchange Regimes?","year":2015,"lang":"en","type":"article","venue":"Bulletin for international taxation","topic":"Taxation and Legal Issues","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Phenomenon; Law and economics; Contrast (vision); Economics; Relation (database); Business; Public economics; Computer science; Epistemology; Philosophy; Database; Artificial intelligence","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":[0.000670584,0.0001434338,0.0001059829,0.0001784026,0.0002738839,0.0007507895,0.0003687339,0.00005984594,0.00009375438],"category_scores_gemma":[0.00257894,0.0001137983,0.00007968828,0.00009302681,0.00003627177,0.001750823,0.00005784435,0.00005871645,0.0002734681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009966434,"about_ca_system_score_gemma":0.00002896277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004100922,"about_ca_topic_score_gemma":0.00006457927,"domain_scores_codex":[0.9988668,0.00001139348,0.0003741324,0.0001641031,0.0004005001,0.0001830882],"domain_scores_gemma":[0.9969916,0.000099063,0.001156889,0.0001588545,0.001570802,0.00002282929],"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":[0.0003017283,0.00007141404,0.0001011564,0.00007323497,0.00005093183,1.536381e-7,0.0007687722,0.009621237,0.00001108535,0.5411742,0.4161255,0.03170064],"study_design_scores_gemma":[0.0006421601,0.00001715108,0.0001247802,0.00001175494,0.0000115775,3.271884e-7,0.0002438157,0.4320998,0.00002554715,0.01112944,0.5556031,0.00009050219],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03984849,0.0001370565,0.7585947,0.05220928,0.009188643,0.005504567,0.0002560191,0.0009038865,0.1333573],"genre_scores_gemma":[0.9668688,0.000010547,0.01003261,0.004569111,0.003938889,0.001314909,0.001870962,0.00004457774,0.01134966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9270203,"threshold_uncertainty_score":0.7239881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04329276436585098,"score_gpt":0.284079145287946,"score_spread":0.240786380922095,"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."}}