{"id":"W7072081361","doi":"","title":"Understanding the many shades of corporate social responsibility-corporate and brand evaluations","year":2012,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Blame; Football; Forgiveness; Social knowledge; Action (physics)","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":[0.009933881,0.0003841102,0.0003515235,0.002346182,0.003503004,0.01809638,0.0007076137,0.001923382,0.004830987],"category_scores_gemma":[0.01506327,0.0002962547,0.0002898346,0.001743987,0.03228153,0.01820951,0.005716237,0.004504696,0.0002885379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005300017,"about_ca_system_score_gemma":0.00411353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005342949,"about_ca_topic_score_gemma":0.01046294,"domain_scores_codex":[0.9914531,0.006215111,0.000112969,0.0004105826,0.001182764,0.0006255583],"domain_scores_gemma":[0.9893055,0.00677324,0.001234363,0.0006524302,0.0009463503,0.001088105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003268745,0.00009071947,0.009660289,0.0001389259,0.00003244285,0.0001111512,0.1155864,0.0003444132,0.0002661688,0.7965238,0.003727395,0.0734856],"study_design_scores_gemma":[0.00000974761,0.00004192293,0.0166321,0.0006981427,0.00002842521,0.0001256149,0.1753023,0.0008834639,0.0002691708,0.7508212,0.05514338,0.00004456561],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.319223,0.02027017,0.01689298,0.1281175,0.0006756761,0.0000535926,0.00005996726,0.00006346883,0.5146437],"genre_scores_gemma":[0.9932845,0.002395079,0.0008602125,0.001034906,0.00008450153,0.00001096093,0.000009223902,0.00001629245,0.002304345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01809638,"threshold_uncertainty_score":0.05253595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1408934875320444,"score_gpt":0.301324194854875,"score_spread":0.1604307073228306,"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."}}