{"id":"W2119792744","doi":"10.1506/ap.6.3.5","title":"Improving Interim Reporting/L'Amélioration de L'Information Financière Intermédiaire","year":2007,"lang":"en","type":"article","venue":"Accounting Perspectives","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Political science; Humanities; Interim; Law; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002619188,0.0002965473,0.0002665734,0.0004943624,0.0004527502,0.0009359468,0.0003818081,0.0001125749,0.0001382627],"category_scores_gemma":[0.02901381,0.00031927,0.0001372118,0.0007229464,0.00009207483,0.006516889,0.0003868648,0.0003821664,0.0003469247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003804211,"about_ca_system_score_gemma":0.00004899441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001758842,"about_ca_topic_score_gemma":0.0002512895,"domain_scores_codex":[0.997435,0.000008375037,0.001042795,0.0004294643,0.000432105,0.0006522438],"domain_scores_gemma":[0.9712501,0.00005690745,0.02781862,0.0003417854,0.0005146528,0.0000179661],"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":[0.0001414464,0.0001390921,0.2219675,0.0005709734,0.00007707113,0.00007800708,0.007996991,0.0002393944,0.005291567,0.05090889,0.00562139,0.7069677],"study_design_scores_gemma":[0.001194751,0.00005033268,0.7603655,0.0005250242,0.0001416022,0.00003878919,0.05371359,0.009141277,0.001423122,0.003028717,0.1689217,0.001455556],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6082364,0.00005944967,0.3603459,0.0005392541,0.0004265335,0.000279069,9.144563e-7,0.0004592742,0.02965319],"genre_scores_gemma":[0.9949303,0.000005541061,0.001569217,0.001236771,0.001780422,0.00002030983,0.0000219676,0.0000450251,0.0003904557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.705512,"threshold_uncertainty_score":0.9999259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009481927935437626,"score_gpt":0.2436058074568969,"score_spread":0.2341238795214592,"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."}}