{"id":"W2052795891","doi":"10.1080/0963818042000339617","title":"Environmental disclosure quality in large German companies: Economic incentives, public pressures or institutional conditions?","year":2005,"lang":"en","type":"article","venue":"European Accounting Review","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":994,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Université Laval","keywords":"Incentive; Accounting; German; Scarcity; Business; Institutional theory; Context (archaeology); Public disclosure; Quality (philosophy); Institutional investor; Public economics; Economics; Corporate governance; Finance; Market economy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004537789,0.0002969434,0.000513821,0.0001842101,0.0004401793,0.0004641952,0.0004523021,0.00004220672,0.002153537],"category_scores_gemma":[0.001063097,0.0002717464,0.0001771063,0.0003406939,0.0001668686,0.002787812,0.0005606085,0.0003131071,0.002263087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002955773,"about_ca_system_score_gemma":0.0001160764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007883204,"about_ca_topic_score_gemma":0.0007234539,"domain_scores_codex":[0.9970291,0.0002322745,0.001324364,0.0005674274,0.0003604449,0.0004863862],"domain_scores_gemma":[0.9982463,0.0001160372,0.001126704,0.0004301957,0.00005149287,0.00002926357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001180216,0.00123296,0.8528015,0.00628825,0.0001325528,0.0002095674,0.0002915366,0.0001518174,0.0004441568,0.03428856,0.01326269,0.09077837],"study_design_scores_gemma":[0.0003904886,0.000002098719,0.4365585,0.000756993,0.00003412967,0.000006038134,0.00006705854,0.0001695336,0.000001542199,0.0001094537,0.5616136,0.0002905054],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676819,0.007744472,0.00001879247,0.00178636,0.0002368234,0.0008084949,0.0000563386,0.0001884336,0.02147836],"genre_scores_gemma":[0.9932485,0.001200989,0.00005885991,0.003599286,0.001224639,0.00002061799,0.0002654749,0.00004623559,0.0003354426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5483509,"threshold_uncertainty_score":0.9999735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04410958866439109,"score_gpt":0.3142765002692191,"score_spread":0.270166911604828,"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."}}