{"id":"W3203054962","doi":"","title":"Corporate social responsibility of SME´s from view of consumers","year":2019,"lang":"en","type":"article","venue":"Marketing Science & Inspirations","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Corporate social responsibility; Subject (documents); Business; Public relations; Slovak; Social responsibility; Marketing; Political science","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":[0.004862971,0.0003203569,0.0002424494,0.00113595,0.002711339,0.008238268,0.0004311798,0.00168235,0.003790329],"category_scores_gemma":[0.008176108,0.0001508429,0.0003367086,0.0006052834,0.009761851,0.003929891,0.003512553,0.002579261,0.000265675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003242388,"about_ca_system_score_gemma":0.001963264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002611112,"about_ca_topic_score_gemma":0.001933933,"domain_scores_codex":[0.9929023,0.004568049,0.000130302,0.0003932284,0.00137163,0.0006345111],"domain_scores_gemma":[0.9913489,0.003781443,0.001260846,0.0006210936,0.001768654,0.001219034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00019816,0.0004477227,0.1319823,0.0003515617,0.0001829622,0.001687133,0.4422088,0.0007897937,0.002863821,0.3220769,0.01285599,0.08435495],"study_design_scores_gemma":[0.00003048013,0.0003610887,0.08234146,0.0007138663,0.0001072236,0.001482545,0.5590351,0.001822507,0.002246596,0.1394555,0.2122765,0.0001271685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6230962,0.002011121,0.005824841,0.04518883,0.0002988188,0.00008221089,0.00007515092,0.00002842645,0.3233944],"genre_scores_gemma":[0.9963393,0.0001839512,0.0001501951,0.0007545296,0.00004402656,0.00001016026,0.0000082904,0.000004309674,0.002505332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008238268,"threshold_uncertainty_score":0.02571809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1551277546227087,"score_gpt":0.3811825246117025,"score_spread":0.2260547699889938,"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."}}