{"id":"W3124906495","doi":"10.1111/poms.13223","title":"An Efficient Algorithm for Dynamic Pricing Using a Graphical Representation","year":2020,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Profit maximization; Mathematical optimization; Discretization; Profit (economics); Exponential function; Reference price; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007491237,0.00153376,0.001327515,0.001598541,0.0006893639,0.001911427,0.002397208,0.001643535,0.0136182],"category_scores_gemma":[0.003125089,0.0008572253,0.001744871,0.002399851,0.0007010925,0.002451809,0.002143356,0.001870061,0.002884254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722848,"about_ca_system_score_gemma":0.002072563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005973565,"about_ca_topic_score_gemma":0.00668864,"domain_scores_codex":[0.9991641,0.000243221,0.00003646328,0.0002037478,0.0002097813,0.0001427607],"domain_scores_gemma":[0.9991036,0.0005208937,0.00006488999,0.0001612543,0.0001027025,0.00004658082],"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":[0.0001484166,0.0002663379,0.0005267011,0.0002339856,0.00009357268,0.0001987889,0.0001337583,0.576587,0.003681695,0.1263608,0.01655913,0.2752098],"study_design_scores_gemma":[0.00005388602,0.00002017903,0.00004926431,0.000008531261,0.0000107819,0.00003709955,0.0000141213,0.9441811,0.0003222352,0.05316207,0.002131281,0.00000951387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00249321,0.0000514373,0.9931778,0.0001762219,0.00002365013,0.00006767594,0.0001477525,0.001547739,0.002314531],"genre_scores_gemma":[0.125976,0.0001640625,0.8684625,0.0001516879,0.00004438049,0.0003570626,0.0008741522,0.0004695476,0.003500603],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0136182,"threshold_uncertainty_score":0.04555744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03117684933331982,"score_gpt":0.2913824070272987,"score_spread":0.2602055576939789,"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."}}