{"id":"W404979889","doi":"","title":"Key Wordで世界を読む(Number 10)flee to Canada カナダへの脱出 米バーガーキングの本社入れ替え、カナダのタックスヘイブン化?","year":2014,"lang":"ja","type":"article","venue":"週刊ダイヤモンド","topic":"Pharmacy and Medical Practices","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Key (lock); Word (group theory); Computer science; Linguistics; Computer security","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":[0.001114766,0.0004124528,0.0004558116,0.001477019,0.009626904,0.005344371,0.001186304,0.003494281,0.2865871],"category_scores_gemma":[0.00550485,0.0002300741,0.0005575608,0.002741774,0.00200717,0.002024344,0.001711423,0.00293352,0.03939751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05302094,"about_ca_system_score_gemma":0.1178274,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9640734,"about_ca_topic_score_gemma":0.9783835,"domain_scores_codex":[0.9976291,0.0001065499,0.00007014926,0.0001673576,0.0009147144,0.001112168],"domain_scores_gemma":[0.9928369,0.0003483681,0.0002665634,0.00008365802,0.004287607,0.002176838],"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":[0.0001315899,0.00004883833,0.01215967,0.0003747449,0.00001135616,0.0004598215,0.001626117,0.00009312193,0.0004308736,0.01761867,0.8878228,0.07922238],"study_design_scores_gemma":[0.00001343441,0.00002206956,0.01673753,0.0005282039,0.00001286079,0.0001670151,0.007046112,0.00004978754,0.0002507756,0.001318433,0.9738201,0.00003367197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.02177334,0.006814503,0.0005535736,0.2035091,0.01078772,0.0003122532,0.008535449,0.0002347754,0.7474792],"genre_scores_gemma":[0.06977438,0.004457877,0.0007057722,0.02834076,0.000799893,0.00008227409,0.001744239,0.0001024942,0.8939922],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2865871,"threshold_uncertainty_score":0.9587293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09780648266806154,"score_gpt":0.4512963951492367,"score_spread":0.3534899124811752,"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."}}