{"id":"W4393160884","doi":"10.22541/essoar.171136837.71755629/v1","title":"Potential Benefits and Dangers of Using Large Language Models for Advancing Sustainability Science and Communication","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Sustainability; Unintended consequences; Sustainable development; Sustainability science; Engineering ethics; Political science; Social sustainability; Engineering; Ecology","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":[0.07205562,0.001517493,0.001602013,0.003421182,0.00274978,0.01650524,0.004150861,0.00453757,0.006240448],"category_scores_gemma":[0.1915066,0.001637437,0.002479139,0.003443081,0.008958357,0.03608446,0.01128436,0.009334131,0.002915873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005629371,"about_ca_system_score_gemma":0.008141407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007074315,"about_ca_topic_score_gemma":0.009456172,"domain_scores_codex":[0.9147944,0.07141584,0.002705562,0.003418108,0.0067021,0.0009639016],"domain_scores_gemma":[0.6661425,0.2893198,0.006213489,0.02708058,0.00893835,0.002305402],"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":[0.0001275527,0.00006791129,0.002243853,0.0004884364,0.0001361613,0.000176472,0.004081553,0.02056169,0.0006122371,0.9099556,0.007835222,0.0537133],"study_design_scores_gemma":[0.00003192464,0.00003049718,0.0002235736,0.0003100571,0.00004827668,0.0001194586,0.0009428532,0.06887937,0.0006204346,0.8890576,0.03966296,0.00007295041],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01393477,0.004438879,0.8947317,0.06246018,0.0008124333,0.0002343462,0.0007079344,0.001463301,0.0212165],"genre_scores_gemma":[0.3119591,0.006160541,0.6630358,0.0063722,0.001590487,0.001163941,0.001551777,0.001276125,0.006890018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07205562,"threshold_uncertainty_score":0.3810711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0228580133462147,"score_gpt":0.305752264028435,"score_spread":0.2828942506822203,"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."}}