{"id":"W4403730780","doi":"10.3390/engproc2024076040","title":"Green Algorithms: The Impact of Artificial Intelligence on Environmental Sustainability","year":2024,"lang":"en","type":"article","venue":"","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Sustainability; Computer science; Artificial intelligence; Machine learning; 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":[0.002043341,0.000291969,0.0001918483,0.000928544,0.0007950163,0.003259028,0.0003850165,0.0009032011,0.004619093],"category_scores_gemma":[0.01128379,0.0001135812,0.0003230399,0.001299136,0.002148226,0.004070087,0.001541191,0.001203035,0.0003142734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001280177,"about_ca_system_score_gemma":0.0009988453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002227612,"about_ca_topic_score_gemma":0.002617428,"domain_scores_codex":[0.998389,0.000860246,0.00003323156,0.0001247385,0.0004848816,0.0001079801],"domain_scores_gemma":[0.9870762,0.0110769,0.0005810205,0.0003936384,0.0006655717,0.0002067143],"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":[0.0002565511,0.0004217786,0.04022679,0.000585771,0.0001772345,0.00041106,0.001639316,0.06082328,0.003193007,0.5013719,0.00889547,0.3819978],"study_design_scores_gemma":[0.00003988052,0.0002818747,0.03720579,0.0004668861,0.0001443585,0.0003908917,0.00402371,0.1480937,0.006555201,0.727301,0.07541801,0.00007866292],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4495922,0.01502438,0.04719537,0.03699186,0.000529003,0.00009448007,0.0001345415,0.0002790116,0.4501591],"genre_scores_gemma":[0.9840878,0.002851106,0.008012556,0.000899586,0.000101367,0.00001496718,0.00002824,0.00003441254,0.003969914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004619093,"threshold_uncertainty_score":0.01545238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542237016951438,"score_gpt":0.2650944246616183,"score_spread":0.2496720544921039,"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."}}