{"id":"W4400383844","doi":"10.1016/j.eswa.2024.124643","title":"CARD: Comprehensive approach based on relative difference for decision-making problems with dual evaluation forms − Application to sustainable renewable energy selection","year":2024,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Iran University of Science and Technology; Iran National Science Foundation; Iran's National Elites Foundation","keywords":"Dual (grammatical number); Computer science; Selection (genetic algorithm); Renewable energy; Sustainable energy; Artificial intelligence; Environmental economics; Machine learning; Risk analysis (engineering); Operations research; Mathematics; Business","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002489978,0.0004934138,0.0006192864,0.001195546,0.0009782176,0.00135694,0.0006831316,0.0002066328,0.00002082404],"category_scores_gemma":[0.000819334,0.0003216559,0.0001291872,0.003790393,0.00008900476,0.0006685809,0.0001020426,0.0001976566,0.00005763639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008711762,"about_ca_system_score_gemma":0.0005857654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005453982,"about_ca_topic_score_gemma":0.0001975873,"domain_scores_codex":[0.9929104,0.0002916935,0.001144771,0.001987511,0.003016243,0.0006493467],"domain_scores_gemma":[0.9892183,0.004550285,0.0004647949,0.001412983,0.004106688,0.0002469831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005477667,0.000219869,0.00008887523,0.0001082628,0.00007576693,0.00000216449,0.00147625,0.8849471,0.00152776,0.04201626,0.007175741,0.06181422],"study_design_scores_gemma":[0.0005963225,0.0004026401,0.0001711843,0.0005077687,0.00004403025,0.00003338678,0.003003088,0.8236774,0.0001432055,0.008129103,0.1628546,0.0004372225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001051698,0.0004741356,0.9855607,0.0002885755,0.0001409106,0.008528818,0.00005337939,0.0002958524,0.003605935],"genre_scores_gemma":[0.8822488,0.000003353987,0.07509129,0.0002451791,0.000261433,0.04046915,0.00009515741,0.00009344918,0.0014922],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9104694,"threshold_uncertainty_score":0.9999235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0673593248607758,"score_gpt":0.3835785159915754,"score_spread":0.3162191911307997,"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."}}