{"id":"W2765705281","doi":"10.1002/9781119449553.app2","title":"Appendix 2—Useful Sources for Online Information","year":2017,"lang":"en","type":"other","venue":"","topic":"Corporate Taxation and Avoidance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Sociology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002115117,0.00154536,0.001109064,0.009340969,0.0009819425,0.003168907,0.002463253,0.001750162,0.8624324],"category_scores_gemma":[0.02283775,0.0007964027,0.0007402255,0.01081896,0.0004618345,0.002942667,0.00202972,0.001635844,0.7189679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002946101,"about_ca_system_score_gemma":0.00383147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02399244,"about_ca_topic_score_gemma":0.03453746,"domain_scores_codex":[0.9984367,0.0002430996,0.0001952397,0.0001836409,0.0007315625,0.0002098418],"domain_scores_gemma":[0.9828362,0.007073113,0.0008416866,0.001351867,0.006681204,0.001215949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002247643,0.00003648303,0.0002541201,0.0001382235,0.000002746685,0.0000128323,0.00001770376,0.0001051829,0.00001679691,0.0009565425,0.9906511,0.007785741],"study_design_scores_gemma":[0.0001548727,0.00001741039,0.002822339,0.0003719741,0.000008396039,0.0000475089,0.0001629746,0.0005247417,0.000236003,0.007290154,0.9883339,0.00002971866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002997492,0.0001144588,0.001335397,0.0003381326,0.0002118686,0.0002861847,0.8701366,0.001856241,0.1254215],"genre_scores_gemma":[0.002800997,0.000336711,0.005017919,0.0006019783,0.0002199559,0.001459046,0.7558686,0.003321148,0.2303737],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8624324,"threshold_uncertainty_score":0.1962234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446773024645164,"score_gpt":0.240508166683204,"score_spread":0.2160404364367524,"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."}}