{"id":"W2770312206","doi":"10.1080/00207543.2017.1401249","title":"Scheduling twin robots in a palletising problem","year":2017,"lang":"en","type":"article","venue":"International Journal of Production Research","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"University of Bath; Canadian Natural Resources Limited","keywords":"Iterated local search; Mathematical optimization; Robot; Metaheuristic; Job shop scheduling; Integer programming; Computer science; Scheduling (production processes); Linear programming; Iterated function; Mathematics; Artificial intelligence; Routing (electronic design automation)","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001138012,0.00005805563,0.00008887815,0.0004178657,0.000113939,0.0001835718,0.0004148188,0.00003886006,0.00002152517],"category_scores_gemma":[0.001018934,0.00005633009,0.00002810645,0.00005438424,0.00006529053,0.0004367331,0.00005568319,0.0004828967,0.000008176818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001978384,"about_ca_system_score_gemma":0.00003660359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000171344,"about_ca_topic_score_gemma":0.00001557206,"domain_scores_codex":[0.9989014,0.00003618481,0.0002764201,0.00009902987,0.0005335151,0.0001535116],"domain_scores_gemma":[0.9989898,0.00003772846,0.0001100607,0.0001501715,0.00067258,0.00003963577],"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":[0.0000314369,0.00002551736,0.0007372298,0.00001371221,0.00002433481,0.00003990239,0.0001465155,0.9804403,0.002049435,0.0003718247,0.0002838259,0.01583598],"study_design_scores_gemma":[0.008050659,0.000630221,0.1073407,0.004849306,0.00004351183,0.001705211,0.002094908,0.4123532,0.2497224,0.1629611,0.04853561,0.001713114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5588494,0.0009670896,0.4020312,0.0136804,0.01269543,0.0004746457,0.000003962624,0.0001157031,0.01118213],"genre_scores_gemma":[0.9616333,0.0003872503,0.03691436,0.000003619817,0.0008591181,0.000003049043,0.000001092728,0.00001308985,0.0001850748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.568087,"threshold_uncertainty_score":0.2297074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09154275540480063,"score_gpt":0.403095946266704,"score_spread":0.3115531908619034,"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."}}