{"id":"W4293225706","doi":"","title":"Is Social Media an Efficient Corporate Governance Mechanism? A Corporate Reputation Perspective","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Mechanism (biology); Corporate governance; Business; Social media; Reputation; Perspective (graphical); Corporate communication; Public relations; Computer science; World Wide Web; Political science; Artificial intelligence","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":[0.007870832,0.0004844264,0.001246818,0.002176213,0.001528576,0.010308,0.001781204,0.004061445,0.01283002],"category_scores_gemma":[0.03248505,0.0005527971,0.0007393841,0.001540766,0.006021872,0.01723505,0.002361252,0.001915596,0.001220164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00191494,"about_ca_system_score_gemma":0.001888847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001149919,"about_ca_topic_score_gemma":0.000843115,"domain_scores_codex":[0.9936086,0.002971616,0.0003335621,0.001110186,0.001158735,0.0008172475],"domain_scores_gemma":[0.9583207,0.02001278,0.007663484,0.007042277,0.004827892,0.002132736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006110401,0.00009164361,0.002317502,0.00009994415,0.00007599892,0.00007165658,0.0002300826,0.004678513,0.0009463045,0.9712776,0.00234707,0.01780259],"study_design_scores_gemma":[0.00005779578,0.0001057371,0.004145229,0.00006573373,0.00008567149,0.00009020366,0.0004006642,0.03138745,0.001185245,0.955352,0.007086861,0.00003740455],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3223491,0.003172552,0.3852777,0.06285852,0.0005514309,0.0002836374,0.0003978918,0.0005632332,0.224546],"genre_scores_gemma":[0.9860944,0.0003925905,0.005432639,0.0003845183,0.0003426872,0.00004576589,0.00002354555,0.00003212567,0.007251876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01283002,"threshold_uncertainty_score":0.04292071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03678660896005545,"score_gpt":0.2696669399173918,"score_spread":0.2328803309573364,"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."}}