{"id":"W4285596567","doi":"10.3390/su14148651","title":"ICT and Environmental Sustainability: A Comparative Study","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Information and Communications Technology; Sustainability; Empirical research; Global warming; Green computing; Business; Developing country; Climate change; Economic growth; Environmental economics; Political science; Economics; Cloud computing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001823706,0.0002912644,0.0006372802,0.0002119773,0.0006141455,0.00006170086,0.0003598628,0.00005313169,0.001282507],"category_scores_gemma":[0.0002115439,0.0003872369,0.0001236145,0.0001962381,0.0003680533,0.0002831616,0.000982332,0.0003854903,0.00002768644],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005811342,"about_ca_system_score_gemma":0.00009203818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006609147,"about_ca_topic_score_gemma":0.00003759308,"domain_scores_codex":[0.9971705,0.0002274283,0.0007903876,0.001165274,0.00008480073,0.0005616201],"domain_scores_gemma":[0.9984605,0.0001223024,0.0003369271,0.0008947133,0.00002094369,0.0001646358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008036553,0.001645439,0.93503,0.0000432966,0.00008212883,0.00002085642,0.006680317,0.00171527,0.000001956429,0.05410188,0.0001794921,0.000419016],"study_design_scores_gemma":[0.001479257,0.0007875632,0.6595433,4.545095e-7,0.00001522891,0.000009036418,0.08524112,0.001431502,0.00000872377,0.2206236,0.0303344,0.00052585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993982,0.0006190375,0.0001382317,0.001103095,0.0001371793,0.001638725,0.0002287253,0.0000596475,0.002093374],"genre_scores_gemma":[0.9974718,0.00001072563,0.00004201731,0.0001239843,0.00003433496,0.0006539728,0.0000350628,0.00003340412,0.001594676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2754867,"threshold_uncertainty_score":0.999858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800974090962208,"score_gpt":0.2297671472918237,"score_spread":0.2117574063822016,"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."}}