{"id":"W4379619980","doi":"10.1109/cictn57981.2023.10140867","title":"Machine Learning In Sustainable Development–An Overview","year":2023,"lang":"en","type":"article","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Sustainable development; Artificial intelligence","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":[0.002088671,0.0007995349,0.0007998957,0.003036188,0.0006392188,0.003129895,0.00115056,0.002833116,0.003324696],"category_scores_gemma":[0.002221248,0.0005089879,0.0007442456,0.004076225,0.002378978,0.005794,0.0015465,0.003883139,0.00145231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00222573,"about_ca_system_score_gemma":0.001447653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002366538,"about_ca_topic_score_gemma":0.001213123,"domain_scores_codex":[0.9990445,0.0003966009,0.0000576918,0.000131208,0.0002916639,0.00007843151],"domain_scores_gemma":[0.9980276,0.001461082,0.00007476677,0.00008045321,0.0002701528,0.00008585952],"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":[0.00004553671,0.0001812764,0.001519726,0.002733455,0.00008702881,0.0002256103,0.0003519422,0.0115273,0.0003609907,0.5061066,0.04466485,0.4321958],"study_design_scores_gemma":[0.000009915395,0.0001003123,0.001548677,0.002564974,0.00002176312,0.0003203063,0.000266517,0.009776136,0.0003202237,0.3233719,0.6616468,0.0000524732],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001538787,0.9033961,0.02744535,0.01734618,0.001751566,0.00003893871,0.0000708365,0.00007596916,0.04833621],"genre_scores_gemma":[0.0480104,0.9092467,0.01950597,0.004220007,0.006191234,0.0001234382,0.0001623198,0.00006405162,0.01247594],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003324696,"threshold_uncertainty_score":0.01614887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1087957628785887,"score_gpt":0.3148751723828935,"score_spread":0.2060794095043048,"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."}}