{"id":"W6949479148","doi":"10.5281/zenodo.13999547","title":"The Science of Prompt Engineering: Secrets to Getting the Best from Chatbots","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Presentation (obstetrics); Storytelling; Work (physics); Chatbot; Power (physics); Best practice","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":[0.0278814,0.001259251,0.0008527271,0.001956321,0.005447939,0.01457086,0.002615496,0.004015983,0.01731838],"category_scores_gemma":[0.1206388,0.001063995,0.000623599,0.0009400822,0.0172424,0.03526144,0.009393305,0.006875906,0.005185947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002199964,"about_ca_system_score_gemma":0.003105735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005907974,"about_ca_topic_score_gemma":0.0006625235,"domain_scores_codex":[0.9796338,0.0144115,0.0007190306,0.001456904,0.00282117,0.0009575745],"domain_scores_gemma":[0.9117047,0.06782132,0.001774144,0.01011127,0.005356707,0.003231831],"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":[0.0005244107,0.000213252,0.001669805,0.001778492,0.00004391142,0.000390233,0.04770943,0.002717858,0.009654878,0.4673457,0.04136241,0.4265896],"study_design_scores_gemma":[0.00009668864,0.0003896357,0.0005189768,0.001591393,0.00004529044,0.0006197965,0.02410254,0.008186692,0.009701154,0.5945612,0.3600226,0.0001640248],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02590103,0.008024191,0.8298919,0.06415539,0.003787106,0.0005449167,0.0002036549,0.00595085,0.06154092],"genre_scores_gemma":[0.5204585,0.006663157,0.4343969,0.006424892,0.001899058,0.001127404,0.0002636611,0.002994516,0.0257719],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0278814,"threshold_uncertainty_score":0.1474527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03159281857591103,"score_gpt":0.2405440125927221,"score_spread":0.2089511940168111,"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."}}