{"id":"W2894820962","doi":"10.32749/nucleodoconhecimento.com.br/contabilidade/arrendamento-mercantil","title":"Impactos do arrendamento mercantil nas demonstrações contábeis do período comparativo de 2018","year":2019,"lang":"pt","type":"article","venue":"Revista Científica Multidisciplinar Núcleo do Conhecimento","topic":"Academic Research in Diverse Fields","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Humanities; Philosophy; Physics; Political science","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":[0.01483389,0.0004507972,0.0008959199,0.00325666,0.00230135,0.004947573,0.001577735,0.00118871,0.01365477],"category_scores_gemma":[0.04717187,0.0004259496,0.001082074,0.005935963,0.002188529,0.00360948,0.005006617,0.001631805,0.001711246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006854923,"about_ca_system_score_gemma":0.01047496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03756125,"about_ca_topic_score_gemma":0.0469998,"domain_scores_codex":[0.9864058,0.004748663,0.001146109,0.001342712,0.005255475,0.001101144],"domain_scores_gemma":[0.9558552,0.0156175,0.009640081,0.003609947,0.01311052,0.002166712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005540156,0.0009566093,0.50216,0.008432541,0.0009930684,0.001062618,0.09843203,0.001873102,0.009003056,0.02048377,0.01995802,0.3311051],"study_design_scores_gemma":[0.00008919807,0.001698437,0.758498,0.003083034,0.0005030906,0.0001483971,0.06979398,0.0005233645,0.003858027,0.002643967,0.1590503,0.000110362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9318337,0.007111361,0.003080613,0.004459727,0.0004171253,0.000380816,0.004443166,0.0002021642,0.04807126],"genre_scores_gemma":[0.9780542,0.002702577,0.003004251,0.0003906033,0.0001182653,0.0006031837,0.001964337,0.0001204908,0.01304203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03756125,"threshold_uncertainty_score":0.07845008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05841265470958928,"score_gpt":0.3838028697144468,"score_spread":0.3253902150048575,"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."}}