{"id":"W3086909567","doi":"10.1007/978-3-030-44530-0_19","title":"Production Typologies in Production Scheduling: Identification and Management","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in management and industrial engineering","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Typology; Production (economics); Scheduling (production processes); Computer science; Production manager; Task (project management); Identification (biology); Factory (object-oriented programming); Engineering; Operations management; Systems engineering; Economics; Microeconomics","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":[0.0002068067,0.0003221618,0.0002768509,0.0005820666,0.00003281256,0.00007954201,0.00008958689,0.0003185477,0.000008722175],"category_scores_gemma":[0.00008666933,0.0003666012,0.00002749317,0.0002031287,0.00002747479,0.0001291239,0.0000733905,0.0005779088,0.000005015757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001142685,"about_ca_system_score_gemma":0.000003569138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002165709,"about_ca_topic_score_gemma":0.000005053454,"domain_scores_codex":[0.9987725,0.000008001908,0.0003895242,0.0004788437,0.0001592198,0.0001918831],"domain_scores_gemma":[0.9996808,0.00002162297,0.00005849062,0.0001826199,0.00001493823,0.0000415711],"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":[0.00001573476,0.000005333329,0.00005730727,0.0005887213,0.00008801094,0.00001581302,0.0001056068,0.9409636,0.00004901501,0.002914568,0.00005279911,0.05514354],"study_design_scores_gemma":[0.002611361,0.0001047546,0.001258393,0.003693885,0.0004447426,0.00002236285,0.0001568412,0.9613158,0.002408324,0.008466909,0.01697081,0.002545859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02256748,0.02773871,0.7959621,0.01431278,0.03723021,0.01863345,0.00004412434,0.007159177,0.076352],"genre_scores_gemma":[0.7794399,0.04397411,0.1486207,0.0001204086,0.004951632,0.000502377,0.0004819572,0.000696132,0.02121282],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7568724,"threshold_uncertainty_score":0.9998786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02530019893522099,"score_gpt":0.2105741927152782,"score_spread":0.1852739937800572,"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."}}