{"id":"W2294069062","doi":"10.1007/978-3-319-26626-8_7","title":"Variants of Multi-resource Scheduling Problems with Equal Processing Times","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Time complexity; Monotonic function; Scheduling (production processes); Generalization; Job shop scheduling; Polynomial; Function (biology); Mathematical optimization; Algorithm; Set (abstract data type); Mathematics; Schedule","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004478382,0.0003348017,0.0003789006,0.0003976609,0.00006419294,0.0001246986,0.0005564372,0.000218888,0.00001537105],"category_scores_gemma":[0.00004667695,0.0002826371,0.00003509934,0.0003658679,0.0003176231,0.0001843377,0.0001156006,0.0004873814,0.000007023208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001106618,"about_ca_system_score_gemma":0.0002725557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000431262,"about_ca_topic_score_gemma":0.00000929627,"domain_scores_codex":[0.998253,0.00000923481,0.000347618,0.0004866932,0.0005665102,0.0003369539],"domain_scores_gemma":[0.999074,0.00007694392,0.0001395391,0.0003330802,0.0002619994,0.0001143941],"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":[0.000003008182,0.000008966178,0.00001167508,0.00009914001,0.000009023628,0.000006272849,0.0007037265,0.8849832,0.00003410487,0.00007043951,0.000001142123,0.1140693],"study_design_scores_gemma":[0.0003393815,0.00006041551,0.000006254039,0.0009836117,0.00001200259,0.00002204357,8.630352e-7,0.9966925,0.0003705395,0.001062156,0.00009592696,0.000354354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00007783398,0.001422905,0.9963195,0.0000237401,0.000249048,0.000199467,0.000004299188,0.0001959805,0.001507196],"genre_scores_gemma":[0.0956971,0.000009729515,0.9038337,0.00004610035,0.0001836007,0.00000397601,0.000008186201,0.00006596251,0.0001515719],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1137149,"threshold_uncertainty_score":0.9999626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513931037187123,"score_gpt":0.2390370093818082,"score_spread":0.2138976990099369,"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."}}