{"id":"W1556643646","doi":"","title":"LA PRÉVISION DU BÉNÉFICE COMPTABLE PAR LE DIVIDENDE","year":2006,"lang":"fr","type":"preprint","venue":"Americanae (AECID Library)","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002273993,0.0004115739,0.0006135906,0.001214174,0.0007214696,0.003647025,0.0005086564,0.0006002254,0.006979909],"category_scores_gemma":[0.008157749,0.0002631808,0.0005178899,0.001978936,0.001132617,0.001125759,0.0009985004,0.0007594563,0.0004005042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01022912,"about_ca_system_score_gemma":0.004264608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2637399,"about_ca_topic_score_gemma":0.3644137,"domain_scores_codex":[0.998603,0.0003173838,0.00005520207,0.0002525496,0.0005183787,0.0002533384],"domain_scores_gemma":[0.9914498,0.005457593,0.001514507,0.0002889933,0.0009829506,0.000306152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002009864,0.0001679627,0.8275046,0.0009396338,0.00079655,0.0006886624,0.01860876,0.02015395,0.006557884,0.02626379,0.0007708149,0.09553753],"study_design_scores_gemma":[0.00004500439,0.0003782534,0.9635235,0.0001597405,0.0003143757,0.0001165228,0.009424946,0.005335279,0.003230961,0.003900714,0.01349793,0.00007285955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810901,0.001716621,0.002309267,0.0002745883,0.00001203682,0.00004943186,0.0004473582,0.00001296062,0.01408757],"genre_scores_gemma":[0.9922788,0.000439144,0.0007952485,0.00002441997,0.000005372885,0.00002274013,0.0001293226,0.000003395727,0.006301592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2637399,"threshold_uncertainty_score":0.5244094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01773538353976724,"score_gpt":0.2423549396299433,"score_spread":0.224619556090176,"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."}}