{"id":"W4403606135","doi":"10.3390/info15100634","title":"Promptology: Enhancing Human–AI Interaction in Large Language Models","year":2024,"lang":"en","type":"article","venue":"Information","topic":"Topic Modeling","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Natural language processing; Linguistics; Cognitive science; Psychology; Artificial intelligence; Philosophy","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":[0.000259709,0.00005217834,0.00005530609,0.0002250694,0.00003443031,0.0002096676,0.0001580867,0.00004308098,0.000009435707],"category_scores_gemma":[0.00001157773,0.00005041709,0.00001856165,0.0001698216,0.000002959023,0.005900356,0.00007421534,0.0001514734,0.0001267977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007917063,"about_ca_system_score_gemma":0.00003297886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006139869,"about_ca_topic_score_gemma":0.00006159626,"domain_scores_codex":[0.9994321,0.00001537423,0.000236152,0.00008687821,0.0001002026,0.0001292634],"domain_scores_gemma":[0.9997624,0.00001531875,0.00003096157,0.0001545083,0.00002113927,0.00001565945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003845943,0.00002957909,0.0001293128,0.0002672256,0.00001277195,0.00001966755,0.1039697,0.02964586,0.002555095,0.6621508,0.0006436897,0.2005725],"study_design_scores_gemma":[0.00008098775,0.000008291062,0.00008023732,0.00006810515,7.643598e-7,0.000009221657,0.0002508134,0.9920762,0.001211331,0.004882684,0.001273891,0.00005753438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.133362,0.00003856179,0.8611418,0.000351131,0.0003628547,0.00009214306,7.038863e-7,0.0002022978,0.004448573],"genre_scores_gemma":[0.9960012,0.000001397715,0.003577187,0.0003097749,0.00003373092,0.00001571101,0.00001103404,0.000002058002,0.00004789969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9624303,"threshold_uncertainty_score":0.4277616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526053304268987,"score_gpt":0.2959849852575676,"score_spread":0.2807244522148777,"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."}}