{"id":"W4388192306","doi":"10.1109/ict4s58814.2023.00005","title":"Preface: ICT4S 2023","year":2023,"lang":"en","type":"article","venue":"","topic":"Green IT and Sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Environmental science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007611572,0.00004619106,0.00004892531,0.00003513503,0.00001886241,0.00001032626,0.00005542992,0.00002973612,0.0004626885],"category_scores_gemma":[0.00001550469,0.00004122882,0.00002316661,0.0002358785,0.000008137417,0.00004162031,0.00001914902,0.00004751341,0.001364199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000215501,"about_ca_system_score_gemma":0.000004905162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000154421,"about_ca_topic_score_gemma":0.00002305924,"domain_scores_codex":[0.9996591,0.00000377021,0.00005929724,0.00006047969,0.00005839317,0.000159026],"domain_scores_gemma":[0.9998029,0.00001712625,0.000001679711,0.0001307908,0.00001316687,0.00003433603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007465126,0.00002709335,0.05072073,0.0005308659,0.00008220536,0.00006858932,0.001209933,0.0547094,0.002811479,0.01386742,0.8211752,0.05478959],"study_design_scores_gemma":[0.0004522427,0.00003803831,0.3487993,0.000008968907,0.00001097642,0.000002615314,0.001549163,0.260108,0.004179014,0.0187124,0.3655974,0.000541987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8375723,0.00003176472,0.0008095695,0.0001762251,0.0002606291,0.00009174064,0.00000209674,0.001815777,0.1592399],"genre_scores_gemma":[0.9762388,0.000008671395,0.00005663798,0.00001089724,0.00003144006,0.000009834414,0.000003856498,0.000009598452,0.02363021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4555779,"threshold_uncertainty_score":0.9994134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007930990894827357,"score_gpt":0.2059698227261035,"score_spread":0.1980388318312761,"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."}}