{"id":"W4400651343","doi":"10.2139/ssrn.4894684","title":"How Will Generative AI Impact Communication?","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Generative grammar; Computer 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":[0.01587887,0.0005345907,0.0004260314,0.003386272,0.004370577,0.01401868,0.001571513,0.005591948,0.02797434],"category_scores_gemma":[0.09706039,0.0004735939,0.000493995,0.002546515,0.01336642,0.01626378,0.006050354,0.004902569,0.004350808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004518428,"about_ca_system_score_gemma":0.00544688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003909296,"about_ca_topic_score_gemma":0.002105547,"domain_scores_codex":[0.9790826,0.0151518,0.0003000456,0.0007471385,0.002885083,0.001833228],"domain_scores_gemma":[0.8960409,0.08019417,0.005566469,0.005269325,0.008211988,0.004717225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001684101,0.0004692854,0.01196393,0.0002063425,0.00006272086,0.0002779703,0.02348485,0.001321874,0.0006942921,0.8994569,0.007791748,0.05410161],"study_design_scores_gemma":[0.00007478964,0.0001388601,0.008445521,0.0003227106,0.00005683535,0.0002844761,0.02382477,0.003299586,0.001079918,0.90447,0.05795424,0.00004835736],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1704216,0.00218152,0.01759286,0.1102587,0.001060208,0.0001095802,0.000187773,0.0002770014,0.6979107],"genre_scores_gemma":[0.9875489,0.0007595181,0.001529154,0.002806512,0.0003933699,0.0000667542,0.00004561293,0.00007449648,0.006775617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02797434,"threshold_uncertainty_score":0.09358346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02082488794010484,"score_gpt":0.3820232260049805,"score_spread":0.3611983380648756,"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."}}