{"id":"W1003559035","doi":"10.5267/j.msl.2015.6.008","title":"A scenario based project portfolio selection","year":2015,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Portfolio; Computer science; Project portfolio management; Business; Finance; Project management; Artificial intelligence; Economics; Management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001629415,0.0009365955,0.00102495,0.0009052447,0.0004699812,0.002070873,0.001372712,0.001842631,0.005096365],"category_scores_gemma":[0.002807713,0.0005491082,0.0009183664,0.001401925,0.0006447788,0.001733578,0.001366662,0.001099162,0.000430473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214885,"about_ca_system_score_gemma":0.00119847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002002429,"about_ca_topic_score_gemma":0.001084235,"domain_scores_codex":[0.9979401,0.001192644,0.00004951047,0.0002593599,0.0003615959,0.00019667],"domain_scores_gemma":[0.9991109,0.0004601733,0.0001450129,0.00004586812,0.0001376614,0.0001002686],"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":[0.00005093753,0.00003058023,0.0004087569,0.00003900037,0.00003767356,0.0002788881,0.00003076739,0.9669456,0.0006875308,0.02492506,0.0006583097,0.005906897],"study_design_scores_gemma":[0.00001228297,0.00004761529,0.0001718189,0.000009729089,0.000009014891,0.0001137248,0.00002575545,0.987283,0.0002230791,0.01115079,0.0009403506,0.00001288406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07126705,0.0004894722,0.9073231,0.001342117,0.00005687084,0.0002041177,0.0004814629,0.0001740422,0.01866179],"genre_scores_gemma":[0.9276013,0.0005823324,0.0628088,0.0001065649,0.00004342097,0.0003336167,0.0003394927,0.00003580186,0.008148536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005096365,"threshold_uncertainty_score":0.01704907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294027885483929,"score_gpt":0.2460824025597104,"score_spread":0.2231421237048711,"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."}}