{"id":"W7026774065","doi":"","title":"Az IFRS 16 bevezetésének hatásai a magyar tőzsdei társaságokra","year":2021,"lang":"hu","type":"other","venue":"ELTE Digital Institutional Repository (EDIT) (Eötvös Loránd University)","topic":"Diverse Music Education Insights","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Quarter (Canadian coin); Legislation; Power (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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.0001559743,0.001484212,0.001222413,0.001734862,0.003371778,0.003100384,0.001492211,0.0008877551,0.02572922],"category_scores_gemma":[0.0001580316,0.001696389,0.001113982,0.0007038076,0.00373148,0.00298261,0.0008207992,0.001228625,0.003250455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002640145,"about_ca_system_score_gemma":0.004343852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001041505,"about_ca_topic_score_gemma":0.0005446518,"domain_scores_codex":[0.9937295,0.0002229436,0.001032888,0.002080561,0.001774885,0.001159204],"domain_scores_gemma":[0.995271,0.0002815768,0.001015311,0.001297286,0.001227333,0.0009074639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000188225,0.001436624,0.0002130005,0.0004043165,0.001596024,0.005838259,0.004559225,0.00008727061,0.00003297541,0.751891,0.2324845,0.001268569],"study_design_scores_gemma":[0.001471558,0.0001842512,0.0002507812,0.001420852,0.0005215094,0.0002741521,0.008734106,0.00002039291,0.0000796762,0.000543015,0.9846483,0.00185133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00801632,0.002085734,0.0001262889,0.0003658126,0.02471811,0.0007750108,0.001579899,0.0003610135,0.9619718],"genre_scores_gemma":[0.1124415,0.0002999695,0.00007545717,0.0003941389,0.0101741,0.000009418893,0.002388207,0.0002338892,0.8739833],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7521638,"threshold_uncertainty_score":0.9997907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0251651878225626,"score_gpt":0.1922496484648657,"score_spread":0.1670844606423031,"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."}}