{"id":"W7099422495","doi":"","title":"Les Cahiers du GERAD ISSN: 0711–2440 Simultaneous optimization of personalized integrated scheduling for pilots and copilots","year":2014,"lang":"en","type":"article","venue":"","topic":"War, Law, and Justice","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scheduling (production processes); Information system; Metadata; The Internet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005412353,0.0001081661,0.000205176,0.00005175996,0.0004941965,0.00006554976,0.0001143466,0.0001274735,0.0001627536],"category_scores_gemma":[0.002118342,0.00009363978,0.00004364409,0.00016373,0.0004560923,0.0001356003,0.00001138458,0.00005526567,0.000001428648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005498365,"about_ca_system_score_gemma":0.00007977978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003552226,"about_ca_topic_score_gemma":0.001659446,"domain_scores_codex":[0.9990504,0.0001376871,0.0001946597,0.0002029256,0.0001931358,0.0002212205],"domain_scores_gemma":[0.9984099,0.0009825565,0.00009717172,0.00007555155,0.0003231312,0.0001117443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009145482,0.0003869542,0.002184293,0.0004488472,0.0001956482,0.000006440588,0.07446767,0.1334629,0.00264691,0.7441999,0.002774887,0.03831102],"study_design_scores_gemma":[0.003918398,0.0005561564,0.00009454269,0.0001699454,0.0002646141,0.000004526589,0.04907496,0.8521801,0.001022035,0.002893114,0.08911017,0.0007114367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3290009,0.0003668907,0.6408314,0.001665313,0.0004072426,0.0007599744,0.00002095595,0.0002056104,0.02674164],"genre_scores_gemma":[0.9441079,0.0002066308,0.05206957,0.0002286731,0.0001774075,0.000009156221,0.00001504217,0.00001380802,0.00317185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7413068,"threshold_uncertainty_score":0.5369927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949864783080977,"score_gpt":0.2878388953850721,"score_spread":0.2683402475542623,"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."}}