{"id":"W27854292","doi":"10.3390/pharmaceutics8040033","title":"Encouraging Sustainable Energy Use in the Office with Persuasive Mobile Information Systems","year":2014,"lang":"en","type":"article","venue":"International Conference on Information Systems","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; Queen's University; McGill University","funders":"","keywords":"Computer science; Persuasive technology; Energy (signal processing); Environmental economics; Persuasion","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":[0.0009029739,0.0003497024,0.0001796557,0.000731419,0.0008328159,0.002305622,0.0006488072,0.0007794243,0.01097827],"category_scores_gemma":[0.001529608,0.0001003801,0.0002412896,0.0006972087,0.0004692978,0.002119411,0.002227158,0.0004401068,0.004102714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003681659,"about_ca_system_score_gemma":0.0007584622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005654584,"about_ca_topic_score_gemma":0.001640111,"domain_scores_codex":[0.9991677,0.0002540198,0.00002735341,0.00008184356,0.0003469064,0.0001222681],"domain_scores_gemma":[0.9993731,0.0001937133,0.00008545465,0.00007539304,0.0001994413,0.00007297497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001858742,0.0007130842,0.01001625,0.001104623,0.00005147431,0.001095265,0.003363131,0.001356788,0.04677086,0.02476918,0.0260103,0.8845631],"study_design_scores_gemma":[0.00004476237,0.0007016906,0.0131813,0.0008239953,0.00005636868,0.001140251,0.01412241,0.003055004,0.06308229,0.02506622,0.8786493,0.00007648637],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3664592,0.01320259,0.06733222,0.01782805,0.0009197526,0.0003719845,0.0003286315,0.001275154,0.5322824],"genre_scores_gemma":[0.8805548,0.008224432,0.03899496,0.001710773,0.0002196969,0.0001760514,0.000270797,0.0002965895,0.069552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01097827,"threshold_uncertainty_score":0.03672594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086358034250802,"score_gpt":0.2033008026161195,"score_spread":0.1924372222736114,"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."}}