{"id":"W3013705956","doi":"10.1002/9781119434016.ch29","title":"Artificial Intelligence and Computational Sustainability","year":2020,"lang":"en","type":"other","venue":"Sustainability","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Sustainability; Computer science; Exploit; Population; Artificial intelligence; Data science; Management science; Automation; Big data; Engineering; Computer security; Data mining","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004500527,0.0004750577,0.0005142685,0.0003337496,0.0001721148,0.0004050806,0.0005109443,0.0003272409,0.003282533],"category_scores_gemma":[0.003055174,0.0004582937,0.0001120258,0.0008046553,0.0007026837,0.0004693287,0.0007632382,0.0004106792,0.0001856378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003537681,"about_ca_system_score_gemma":0.0004872955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002627932,"about_ca_topic_score_gemma":0.0003195586,"domain_scores_codex":[0.9975225,0.00003193616,0.0005124556,0.001021644,0.0004198255,0.0004916164],"domain_scores_gemma":[0.9978564,0.00009468698,0.0003407047,0.0005695071,0.001094754,0.00004396306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001326782,0.0003212309,0.006906555,0.00867494,0.00006205833,0.0000629842,0.00008252497,0.0002569967,4.255203e-7,0.5386141,0.2331028,0.2117827],"study_design_scores_gemma":[0.00002632806,0.000009358762,0.001189497,0.00003350427,0.00004710347,0.000001586092,0.000418814,0.002675409,0.000001680905,0.4812738,0.5139142,0.0004087036],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002018881,0.002848012,0.3034715,0.09582516,0.003709512,0.01090016,0.0004623249,0.005114575,0.5756499],"genre_scores_gemma":[0.9199412,0.00005945475,0.001691779,0.003356445,0.007894711,0.0002326843,0.001111371,0.000983155,0.06472924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9179223,"threshold_uncertainty_score":0.9997869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04669015621228542,"score_gpt":0.3037793969947751,"score_spread":0.2570892407824896,"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."}}