{"id":"W7112001479","doi":"","title":"The Development of Canadian Lobbying Law and Its Lessons for Taiwan","year":2016,"lang":"en","type":"article","venue":"","topic":"Political Influence and Corporate Strategies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Legislation; Work (physics); Legislature","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002276975,0.0002618338,0.0002588192,0.001823624,0.01145343,0.009374524,0.00111635,0.003002083,0.009064789],"category_scores_gemma":[0.00873128,0.0002062932,0.000369131,0.002954756,0.00752602,0.003137175,0.001620485,0.004127254,0.0003211358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1175648,"about_ca_system_score_gemma":0.1157029,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9836788,"about_ca_topic_score_gemma":0.990159,"domain_scores_codex":[0.998234,0.0002116405,0.0000363272,0.0001785751,0.0004227119,0.0009167073],"domain_scores_gemma":[0.9958661,0.0009813932,0.0001715948,0.0001959844,0.002000607,0.000784377],"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":[0.0000697288,0.00005675943,0.01345742,0.00006688292,0.00001740381,0.0005286332,0.01081663,0.001086716,0.0003118518,0.8758138,0.04708198,0.05069207],"study_design_scores_gemma":[0.00006981166,0.0000967489,0.07915253,0.0005246357,0.00009219368,0.0002627168,0.0423617,0.005881005,0.00157147,0.1568958,0.7128656,0.0002257816],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2419398,0.004473144,0.001602424,0.1708413,0.0003748038,0.00007957243,0.0002713215,0.00006250622,0.5803551],"genre_scores_gemma":[0.9256928,0.002068738,0.0007134405,0.006808895,0.00008748657,0.00003422356,0.0001083603,0.00003090061,0.06445518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1175648,"threshold_uncertainty_score":0.8529961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07462116253383384,"score_gpt":0.2656112960911724,"score_spread":0.1909901335573386,"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."}}