{"id":"W2110600675","doi":"10.1007/978-3-642-13382-4_2","title":"Decision Making in Planning and Scheduling: A Field Study of Planning Behaviour in Manufacturing","year":2010,"lang":"en","type":"book-chapter","venue":"","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Management science; Production planning; Scheduling (production processes); Operations research; Business decision mapping; Decision support system; Computer science; Field (mathematics); Production (economics); Knowledge management; Engineering; Artificial intelligence; Operations management; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003621579,0.0004887846,0.00136488,0.00294116,0.0001323605,0.0003671735,0.0009347788,0.0005897878,0.0006478386],"category_scores_gemma":[0.001219351,0.0003888689,0.0001459773,0.000193193,0.0000468058,0.0002599351,0.001014131,0.001390741,0.00001936543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004973422,"about_ca_system_score_gemma":0.0000588118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002143047,"about_ca_topic_score_gemma":0.002309914,"domain_scores_codex":[0.9935102,0.00008140223,0.002695081,0.001249043,0.002076274,0.0003879446],"domain_scores_gemma":[0.9917394,0.006004184,0.0009925198,0.001014778,0.0001391382,0.0001099826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009438581,0.000371506,0.7745664,0.00006610445,0.00005764627,0.002850105,0.01747565,0.009753195,0.0001592324,0.009520869,0.0004616258,0.1837739],"study_design_scores_gemma":[0.006668603,0.001539723,0.5165089,0.01521333,0.00008322997,0.0003092573,0.02447741,0.009336606,0.0002670344,0.4142083,0.008518972,0.002868578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9090877,0.001021834,0.005229888,0.00001285573,0.0006516029,0.0007286854,0.0000039804,0.00003112173,0.0832324],"genre_scores_gemma":[0.9828759,0.000001906677,0.005258635,0.0000459261,0.00008644756,0.000009110872,5.175695e-7,0.00004476996,0.01167683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4046874,"threshold_uncertainty_score":0.9998563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1552733168878426,"score_gpt":0.4212347331469508,"score_spread":0.2659614162591082,"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."}}