{"id":"W4225315677","doi":"10.1109/dasa54658.2022.9764965","title":"Selection of Sustainable Energy Alternatives from Indian Context","year":2022,"lang":"en","type":"article","venue":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petroleum Technology Research Centre; University of Regina","funders":"Mae Fah Luang University","keywords":"Selection (genetic algorithm); Computer science; Context (archaeology); Sustainable energy; Energy (signal processing); Artificial intelligence; Engineering; Renewable energy; Biology; Electrical engineering; Mathematics; Statistics","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":[0.002784811,0.0002317559,0.0003691449,0.001360479,0.001242201,0.0007583212,0.002584629,0.00006137609,0.01367415],"category_scores_gemma":[0.00103807,0.0001971094,0.0001286128,0.002025044,0.000432352,0.0006107964,0.001128697,0.0002746315,0.00006617473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001520315,"about_ca_system_score_gemma":0.000278022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004518268,"about_ca_topic_score_gemma":0.0001250364,"domain_scores_codex":[0.9934952,0.0002792932,0.001033143,0.001176486,0.003688009,0.0003279063],"domain_scores_gemma":[0.9953407,0.002216869,0.000769095,0.0005474385,0.0009547424,0.000171155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001990581,0.0002376242,0.004939497,0.000001253861,0.00002574267,0.000008629117,0.0006134417,0.001001453,0.003167561,0.6955605,0.004127942,0.2901173],"study_design_scores_gemma":[0.001247085,0.0004090133,0.006831645,0.00003332004,0.00001010874,0.00003068104,0.02901205,0.05714627,0.00218371,0.5392252,0.3634467,0.0004241462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8447046,0.0002869039,0.1226063,0.003803657,0.001112556,0.0008186203,0.0006589891,0.00008205284,0.02592629],"genre_scores_gemma":[0.99215,0.00009761527,0.002622451,0.0006011752,0.0001153782,0.0003316951,0.00002850523,0.00001235913,0.004040841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3593188,"threshold_uncertainty_score":0.9872275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1234362030299689,"score_gpt":0.4160697405662962,"score_spread":0.2926335375363274,"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."}}