{"id":"W4230955836","doi":"10.32920/ryerson.14653557.v1","title":"Business Is Changing: Expert and Public Opinion on the Future of Work and Artificial Intelligence Through Social Media Research","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Social media; Conversation; Public relations; Work (physics); News media; Political science; Inequality; Dissemination; Sociology; Business; Media studies; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001363235,0.0001225789,0.0001976935,0.0001168851,0.0006971665,0.0007102505,0.0002609895,0.0003051065,0.0002371554],"category_scores_gemma":[0.0001784547,0.00009240085,0.0000491432,0.0007783637,0.0006967799,0.0004291783,0.0002472111,0.0003982347,0.000003341161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004480774,"about_ca_system_score_gemma":0.0002618273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002000454,"about_ca_topic_score_gemma":0.0008854862,"domain_scores_codex":[0.9984789,0.000221855,0.0002547474,0.0002839451,0.0004484,0.0003121411],"domain_scores_gemma":[0.9989503,0.0004462702,0.00008161498,0.0001381088,0.0003306126,0.0000530869],"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":[0.00001522429,0.00003823888,0.00003378293,0.00003376466,0.00001483695,2.567526e-7,0.1715689,7.290907e-7,3.883169e-7,0.5665259,0.0008659589,0.260902],"study_design_scores_gemma":[0.00006012111,0.00002402065,0.0007212939,0.0004035958,0.000005859281,4.121657e-7,0.6486867,0.0000360671,0.000462018,0.2039566,0.1452372,0.0004061829],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2998121,0.006036088,0.004683883,0.5107889,0.004900387,0.001596007,0.00004615418,0.0001142112,0.1720223],"genre_scores_gemma":[0.9919878,0.006090553,0.0001045326,0.000293532,0.001396591,0.00004004636,0.00002970991,0.000007498887,0.00004976759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6921756,"threshold_uncertainty_score":0.6848962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1982866142627922,"score_gpt":0.3803561646120879,"score_spread":0.1820695503492957,"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."}}