{"id":"W4401250443","doi":"10.2139/ssrn.4886590","title":"How will Generative AI impact Communication?","year":2024,"lang":"en","type":"preprint","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":[0.01215356,0.0004996867,0.0004342203,0.003084679,0.003330294,0.01092484,0.001244227,0.004989502,0.03104882],"category_scores_gemma":[0.07965552,0.0004210564,0.0004306357,0.002524615,0.0109579,0.01526824,0.004822975,0.004042959,0.004189652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003740017,"about_ca_system_score_gemma":0.003480577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0032715,"about_ca_topic_score_gemma":0.001589351,"domain_scores_codex":[0.9855254,0.01011764,0.0002144917,0.0006357752,0.00221507,0.001291583],"domain_scores_gemma":[0.91851,0.06348395,0.004472776,0.004364725,0.006118617,0.003050005],"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":[0.0001324688,0.0002751636,0.006923176,0.0001494181,0.00004491756,0.0001685368,0.009602455,0.001431841,0.0006191707,0.9433447,0.005181643,0.03212643],"study_design_scores_gemma":[0.00005210265,0.00007264673,0.00479552,0.0001463264,0.00003246009,0.0001496845,0.008702565,0.003304312,0.0007435508,0.9505097,0.03146332,0.00002789979],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.1823538,0.002075193,0.02299666,0.0912425,0.0008357245,0.00009618841,0.000249544,0.0002251365,0.6999252],"genre_scores_gemma":[0.9884543,0.000721775,0.001550806,0.001859669,0.0003879162,0.00005622071,0.0000496449,0.00007236679,0.006847341],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03104882,"threshold_uncertainty_score":0.1038687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754120591959117,"score_gpt":0.3915007242428399,"score_spread":0.3639595183232487,"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."}}