{"id":"W2597793843","doi":"10.1108/jm2-07-2015-0046","title":"Using decision analysis to explore cable television delivery","year":2017,"lang":"en","type":"article","venue":"Journal of Modelling in Management","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Obsolescence; Decision analysis; Computer science; Integrated project delivery; Stakeholder; Risk analysis (engineering); Operations research; Process management; Knowledge management; Business; Marketing; Economics; Construction management; Engineering","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":[0.02149507,0.00172074,0.001476375,0.00517037,0.001503532,0.006812921,0.001831958,0.001766166,0.005008848],"category_scores_gemma":[0.03686206,0.0008452563,0.00227269,0.003954774,0.003229177,0.004245268,0.002663379,0.002671059,0.0002179603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008489883,"about_ca_system_score_gemma":0.006898152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008973569,"about_ca_topic_score_gemma":0.007625214,"domain_scores_codex":[0.9708448,0.02462975,0.0005228775,0.0009390698,0.001973273,0.001090168],"domain_scores_gemma":[0.9288198,0.06603424,0.002152969,0.0009264465,0.00141982,0.0006467639],"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":[0.0004244328,0.0004746978,0.007417174,0.0007819635,0.0004363855,0.0003028448,0.0009085241,0.7745856,0.0005522022,0.1799804,0.0009889825,0.03314678],"study_design_scores_gemma":[0.00009584791,0.0003939043,0.001058507,0.000297598,0.0001049228,0.00007454599,0.002075024,0.8508875,0.0006332943,0.140501,0.003796778,0.00008107385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3555328,0.002958631,0.5775468,0.005206235,0.0002461114,0.00215691,0.001029243,0.000229305,0.05509389],"genre_scores_gemma":[0.8910772,0.0009918453,0.105945,0.0002294328,0.00005141512,0.0005189929,0.0001817177,0.00002790358,0.0009763657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02149507,"threshold_uncertainty_score":0.1136782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2657687338499892,"score_gpt":0.3640421264808552,"score_spread":0.09827339263086599,"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."}}