{"id":"W4252802222","doi":"10.1002/ddr.21502","title":"Issue Information ‐ TOC","year":2018,"lang":"en","type":"paratext","venue":"Drug Development Research","topic":"Corporate Taxation and Avoidance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health","keywords":"Citation; Information retrieval; Computer science; Library science; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002085811,0.0003177632,0.0002993503,0.001453514,0.0007171403,0.001445022,0.0007807504,0.0002058241,0.03529109],"category_scores_gemma":[0.000235374,0.0002938701,0.00005575431,0.001455152,0.0001422197,0.001970981,0.0007657717,0.0007029299,0.6267651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002301478,"about_ca_system_score_gemma":0.0006048078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002999828,"about_ca_topic_score_gemma":0.0001346596,"domain_scores_codex":[0.9967976,0.00003915339,0.0005994001,0.0003863529,0.001478969,0.0006985529],"domain_scores_gemma":[0.9972806,0.00006008743,0.0004419304,0.0004093084,0.001775638,0.00003245196],"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":[0.00002548793,0.00002777849,0.00006363927,0.0005184253,0.00001872843,0.000001695839,0.0002673856,0.000004123626,0.000008719076,0.0005558545,0.9747174,0.02379081],"study_design_scores_gemma":[0.0002624453,0.000003018131,0.0004078473,0.000221117,0.000003466323,3.686745e-7,0.0002945087,0.0001136786,0.0002833461,0.0001513452,0.9978806,0.0003782563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003731462,0.0001693115,0.0001905017,0.002391747,0.003992985,0.000934212,0.000009407547,0.0001140594,0.9884663],"genre_scores_gemma":[0.007423609,0.000111402,0.0005579808,0.002306605,0.006552458,0.0003028538,0.003207342,0.00005879144,0.979479],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.591474,"threshold_uncertainty_score":0.9999514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0526818257138387,"score_gpt":0.3181205302046432,"score_spread":0.2654387044908045,"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."}}