{"id":"W849920394","doi":"","title":"A model for electronic commerce tax collection","year":2001,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Computer science; Commerce","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001751845,0.000147718,0.0001682625,0.00007609843,0.0002801213,0.0007485452,0.0001742704,0.00006943001,0.0001471677],"category_scores_gemma":[0.00003303252,0.0001491519,0.0001043484,0.0001868269,0.00002375539,0.003634236,0.00006199508,0.0001175121,0.000573935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009693564,"about_ca_system_score_gemma":0.00003149221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008543397,"about_ca_topic_score_gemma":0.006364908,"domain_scores_codex":[0.9990422,4.87798e-7,0.0002119462,0.0002300747,0.00007437809,0.0004409887],"domain_scores_gemma":[0.9996018,0.00001756568,0.000108034,0.0001850133,0.00006511508,0.00002246113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001903461,0.0001149813,0.002004663,0.00006216644,0.00004223254,0.000001461554,0.00001201612,0.006372397,0.00008361324,0.9384305,0.05003892,0.002646718],"study_design_scores_gemma":[0.0008154314,0.00002045408,0.0001851789,0.00001263982,0.00002472237,0.000003043796,0.00007119553,0.4403864,0.000009737767,0.1406997,0.4175096,0.0002619505],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8427351,0.00005514938,0.006940477,0.0005762251,0.0002599897,0.0004524385,0.000005754987,0.0001722506,0.1488026],"genre_scores_gemma":[0.9819053,0.00001788353,0.0001994925,0.005030015,0.0006249957,0.00007108958,0.00006248558,0.00003487896,0.01205387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7977307,"threshold_uncertainty_score":0.7376965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02260995857941756,"score_gpt":0.2227517285237962,"score_spread":0.2001417699443787,"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."}}