{"id":"W2395276158","doi":"10.2139/ssrn.2779334","title":"Some Mathematical Aspects of Price Optimisation","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Actua","funders":"","keywords":"Mathematical economics; Computer science; Econometrics; Economics; Management science","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":[0.002807673,0.001167277,0.0009477066,0.001532551,0.0008604242,0.003709867,0.001557985,0.002631133,0.005659672],"category_scores_gemma":[0.01038251,0.0008313749,0.001464784,0.002193147,0.00393092,0.005428488,0.001865488,0.004055004,0.000804675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002015101,"about_ca_system_score_gemma":0.0009319755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001874473,"about_ca_topic_score_gemma":0.001597668,"domain_scores_codex":[0.9989525,0.0004628717,0.00007574608,0.000117503,0.0003257815,0.00006550864],"domain_scores_gemma":[0.9978089,0.001612164,0.0001843014,0.0001322928,0.0001976692,0.00006479344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000051222,0.00001222426,0.00009978432,0.00005268589,0.00001082508,0.00003767679,0.00005059828,0.0154868,0.000147747,0.9787785,0.001164695,0.004153153],"study_design_scores_gemma":[0.000005254944,0.000005738174,0.00009976893,0.00002013203,0.000006164157,0.00003302349,0.00001416303,0.04547964,0.00004873458,0.9514927,0.002786129,0.000008571898],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02492801,0.0253412,0.7739111,0.01432822,0.001251242,0.00005627079,0.0002276254,0.00008968136,0.1598667],"genre_scores_gemma":[0.6994921,0.03029299,0.1940591,0.002934305,0.006969151,0.0003474166,0.0003411408,0.0002626479,0.06530116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005659672,"threshold_uncertainty_score":0.01893348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972987908374595,"score_gpt":0.321477599966996,"score_spread":0.2917477208832501,"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."}}