{"id":"W4362596021","doi":"10.1007/s11590-023-02000-0","title":"On the complexity of proportionate open shop and job shop problems","year":2023,"lang":"en","type":"article","venue":"Optimization Letters","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Open shop; Job shop scheduling; Computational intelligence; Job shop; Mathematical proof; Mathematics; Computer science; Time complexity; Mathematical optimization; Combinatorics; Discrete mathematics; Flow shop scheduling; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0002358987,0.0001001393,0.000112801,0.00009135183,0.00009339397,0.00008296625,0.0001814483,0.00003527613,0.000162045],"category_scores_gemma":[0.00004983784,0.0000785788,0.00002110111,0.0004308314,0.0001181255,0.0001233538,0.00005424578,0.00008640724,0.00002087017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000176175,"about_ca_system_score_gemma":0.000007947452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005471421,"about_ca_topic_score_gemma":0.000001414395,"domain_scores_codex":[0.9993502,0.00003063989,0.0002028652,0.0001367294,0.0001508633,0.0001287199],"domain_scores_gemma":[0.9996437,0.0000597188,0.00004833796,0.0001678476,0.00004522677,0.00003512895],"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":[0.000003381099,0.000006031462,0.0001223669,0.00001995475,0.00001788393,6.452113e-7,0.0001689617,0.9930806,0.0001497546,0.003135743,0.003136582,0.0001581661],"study_design_scores_gemma":[0.000220926,0.00001087159,0.0003039807,0.00002929818,0.000006430884,0.000001238413,0.0000587257,0.9987406,0.0002254262,0.0002139676,0.00009011574,0.00009841781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1083145,0.00005347084,0.8447929,0.03394816,0.0007085706,0.001779662,0.00005357875,0.001045116,0.009304029],"genre_scores_gemma":[0.7508185,0.0003291372,0.2436202,0.003280759,0.0001358357,0.0002101082,0.00042277,0.0001622624,0.001020373],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.642504,"threshold_uncertainty_score":0.320435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04614629996386672,"score_gpt":0.2456014678474232,"score_spread":0.1994551678835564,"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."}}