{"id":"W3112862753","doi":"10.5117/mab.94.58484","title":"Effecten van IFRS 16 Leases op informatie in de jaarrekening","year":2020,"lang":"nl","type":"article","venue":"Maandblad Voor Accountancy en Bedrijfseconomie","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Theology; Political science; Humanities; Art; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.0195956,0.000748352,0.001387433,0.001484177,0.0009766755,0.005245911,0.001507456,0.002241641,0.05463636],"category_scores_gemma":[0.1056191,0.0005852886,0.004061937,0.00181928,0.001346433,0.003776158,0.003745433,0.003577854,0.005592759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002516179,"about_ca_system_score_gemma":0.004773756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02932653,"about_ca_topic_score_gemma":0.02729457,"domain_scores_codex":[0.9784818,0.01308362,0.001802942,0.001504147,0.003660865,0.001466559],"domain_scores_gemma":[0.7788022,0.1828073,0.01878396,0.0059429,0.007756271,0.005907448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0468723,0.005234694,0.2967662,0.01702697,0.01336686,0.0004534503,0.01536729,0.002484697,0.002247365,0.01014716,0.0868187,0.5032143],"study_design_scores_gemma":[0.003183396,0.01077539,0.7915136,0.01104791,0.01597952,0.0002455021,0.007828809,0.001303516,0.003359268,0.005588125,0.1487808,0.0003941349],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8264062,0.05530871,0.002804678,0.02496364,0.001962765,0.001362111,0.02510301,0.0005018797,0.06158698],"genre_scores_gemma":[0.9188735,0.01692394,0.003092493,0.004545978,0.0006560448,0.002094386,0.007873438,0.0002189897,0.04572128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05463636,"threshold_uncertainty_score":0.1827768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02967851344369698,"score_gpt":0.2706425475897128,"score_spread":0.2409640341460159,"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."}}