{"id":"W7071337836","doi":"","title":"Secret 7: The Best Tax Sheltering in Canada","year":2009,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Legislation; Work (physics)","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":[0.0007757128,0.0004012482,0.0004146982,0.0009455614,0.01874887,0.008655086,0.001433439,0.004661115,0.09084775],"category_scores_gemma":[0.002574668,0.000445134,0.0003818144,0.002002816,0.001521306,0.002249716,0.002665003,0.005351834,0.01278534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0469862,"about_ca_system_score_gemma":0.1299941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.983503,"about_ca_topic_score_gemma":0.9951687,"domain_scores_codex":[0.9979898,0.00004354109,0.00002197401,0.00009399613,0.0009057767,0.0009448798],"domain_scores_gemma":[0.99839,0.00004220741,0.00002280794,0.00003607434,0.0006982991,0.0008106388],"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":[0.00001090903,0.000007762636,0.00054782,0.00002092525,0.000002088967,0.0001019657,0.0003463173,0.00003632545,0.00005167228,0.009840665,0.9808539,0.008179583],"study_design_scores_gemma":[0.000003119099,0.000002246798,0.001473915,0.00004319302,0.000001832933,0.00003069405,0.001038779,0.0000247383,0.00004834538,0.0004504983,0.9968737,0.000008898197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01149348,0.008571785,0.0004105549,0.1565869,0.008696376,0.0001233194,0.009042326,0.0004608177,0.8046145],"genre_scores_gemma":[0.02910352,0.002251738,0.0002429234,0.01513262,0.0002535864,0.00002418221,0.0015037,0.000180323,0.9513074],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09084775,"threshold_uncertainty_score":0.3409103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003397886441220663,"score_gpt":0.1783729461274744,"score_spread":0.1749750596862538,"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."}}