{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009528375,0.001191727,0.0006704777,0.001510318,0.001084007,0.004205767,0.001918147,0.001773464,0.008501571],"category_scores_gemma":[0.05449795,0.0005611318,0.0009304579,0.0008331125,0.002482625,0.01111086,0.008288137,0.002244657,0.002112146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001095214,"about_ca_system_score_gemma":0.002368919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009387351,"about_ca_topic_score_gemma":0.001983118,"domain_scores_codex":[0.9914978,0.006273564,0.0002896651,0.0007874289,0.000962835,0.0001886189],"domain_scores_gemma":[0.9599766,0.03144119,0.001199528,0.004844124,0.001672399,0.0008662018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001043285,0.0009367401,0.008750371,0.002644231,0.0001317169,0.001063121,0.06809375,0.03694255,0.04191613,0.1338096,0.02032453,0.684344],"study_design_scores_gemma":[0.0003954999,0.002117089,0.004689496,0.0009862023,0.0002786399,0.00188965,0.02128216,0.3591885,0.04852241,0.2830295,0.2772228,0.0003981],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04365059,0.0003962136,0.9347134,0.001368734,0.0001266557,0.0005553447,0.0002526803,0.01046688,0.008469389],"genre_scores_gemma":[0.3126283,0.0003811892,0.6801628,0.0004326697,0.00006737391,0.0005725963,0.000654429,0.001019299,0.004081303],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009528375,"threshold_uncertainty_score":0.05039144,"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."}}