{"id":"W4416707978","doi":"10.59403/3hn518n013","title":"Chapter 13: Canada","year":2015,"lang":"en","type":"book-chapter","venue":"EATLP international tax series.","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Redress; Normative; Tax law; Tax policy; Income tax; Politics; Dimension (graph theory); Multidisciplinary approach","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004563773,0.0007549382,0.0006610407,0.001676237,0.009442117,0.007547424,0.001652548,0.003036292,0.4301843],"category_scores_gemma":[0.001534892,0.0004496946,0.0006228411,0.003679991,0.001321696,0.002864764,0.00221105,0.002446355,0.1439916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02248209,"about_ca_system_score_gemma":0.03329103,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6981797,"about_ca_topic_score_gemma":0.8558042,"domain_scores_codex":[0.9990547,0.00005068121,0.00002400082,0.0001685777,0.0004864842,0.0002154698],"domain_scores_gemma":[0.9992319,0.00004075403,0.00001701449,0.00004614788,0.0004991225,0.0001650457],"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":[0.00001203854,0.00001415978,0.0001856559,0.0001210085,0.000002752921,0.00007015093,0.0002431035,0.00007992128,0.0001113908,0.04818914,0.9186682,0.03230251],"study_design_scores_gemma":[9.367628e-7,0.000001393505,0.0001923424,0.00004806913,6.884482e-7,0.00001429801,0.00009411659,0.00001227968,0.00002027521,0.0007278453,0.9988847,0.000003131958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003446715,0.004015173,0.00024051,0.003641904,0.001459987,0.0000582967,0.002496375,0.000163524,0.9875796],"genre_scores_gemma":[0.002555151,0.002563456,0.0002782788,0.001221138,0.0001027015,0.00002587522,0.0009549241,0.0001244752,0.9921741],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4301843,"threshold_uncertainty_score":0.8127729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03691220229631591,"score_gpt":0.2776867522547922,"score_spread":0.2407745499584763,"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."}}