{"id":"W2397478800","doi":"10.4230/dagsemproc.09261.9","title":"Grammar-Based Integer Programing Models for Multi-Activity Shift Scheduling","year":2009,"lang":"en","type":"article","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Integer programming; Solver; Rule-based machine translation; Scheduling (production processes); Grammar; ENCODE; Theoretical computer science; Integer (computer science); Mathematical optimization; Algorithm; Programming language; Artificial intelligence; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001358163,0.001188453,0.0008271064,0.0005815221,0.0005012818,0.00152951,0.001866554,0.001423298,0.005037046],"category_scores_gemma":[0.004176812,0.000701451,0.001827749,0.001324655,0.001398814,0.002014439,0.001544528,0.003167782,0.0006936365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608621,"about_ca_system_score_gemma":0.002552542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003843036,"about_ca_topic_score_gemma":0.006195549,"domain_scores_codex":[0.9988721,0.000425982,0.00006477321,0.0002055997,0.0002850459,0.000146426],"domain_scores_gemma":[0.997919,0.001544892,0.0001683687,0.0001705382,0.0001269449,0.00007026641],"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":[0.0000236701,0.00006727198,0.0001718397,0.00009956034,0.00001621182,0.00008305245,0.0001403925,0.805396,0.0007734703,0.1770609,0.001439483,0.01472812],"study_design_scores_gemma":[0.00003032921,0.00002368138,0.00004339627,0.00001715088,0.00001123734,0.00002404647,0.000028114,0.8558336,0.0004558639,0.1396619,0.003861755,0.000008931257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009209399,0.0001252013,0.9848611,0.0003686043,0.00003419188,0.0001105842,0.0003192307,0.0002197406,0.004751824],"genre_scores_gemma":[0.1884885,0.0005808759,0.8015829,0.0002238879,0.00007957832,0.001035604,0.001148021,0.0002540028,0.006606739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005037046,"threshold_uncertainty_score":0.01685059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.201953135779614,"score_gpt":0.4130827993715797,"score_spread":0.2111296635919657,"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."}}