{"id":"W2130363290","doi":"10.1109/citcon.1988.13243","title":"Computerized production planning and energy management","year":2003,"lang":"en","type":"article","venue":"","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Lawrence College","funders":"","keywords":"Production (economics); Energy management; Initialization; Computer science; Function (biology); Cost reduction; Production planning; Energy (signal processing); Control (management); Operations research; Operations management; Engineering management; Manufacturing engineering; Systems engineering; Engineering; Business; Artificial intelligence; Economics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001685341,0.001085026,0.0007578727,0.002355498,0.0008450199,0.005009573,0.001721706,0.0009877251,0.03634116],"category_scores_gemma":[0.004140054,0.0005750087,0.0005671124,0.003251114,0.001066567,0.002861497,0.001333621,0.0007984343,0.009816262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002316114,"about_ca_system_score_gemma":0.003150949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008265064,"about_ca_topic_score_gemma":0.01017028,"domain_scores_codex":[0.9984951,0.0004136638,0.0001021334,0.0003213314,0.0005827934,0.00008497261],"domain_scores_gemma":[0.9983297,0.0007486721,0.000117704,0.000422734,0.0003184987,0.00006275913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000112179,0.0001419177,0.001224923,0.0002179012,0.00003668726,0.0001273387,0.0001993696,0.1484863,0.002260114,0.1182325,0.04571512,0.6832456],"study_design_scores_gemma":[0.0001366052,0.0001222339,0.001711134,0.0001978955,0.00005436048,0.0002174025,0.0002629269,0.3767932,0.00728528,0.2218265,0.3913095,0.00008310069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005107946,0.001689324,0.873813,0.00172933,0.0002557751,0.0003089453,0.001178839,0.008258935,0.1076579],"genre_scores_gemma":[0.2379938,0.005190869,0.6849247,0.0004998698,0.0003379874,0.001089908,0.005322343,0.0008060811,0.06383449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03634116,"threshold_uncertainty_score":0.1215733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006544199207077037,"score_gpt":0.17861581411276,"score_spread":0.172071614905683,"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."}}