{"id":"W2563066170","doi":"","title":"Marketing Response Analysis Based Dynamic Pricing for Information Products with Piracy Effects","year":2014,"lang":"en","type":"article","venue":"Canadian parliamentary review","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Dynamic pricing; Business; Marketing; Economics; Advertising; Industrial organization","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":[0.01155507,0.0007270389,0.001270134,0.004401513,0.0008082368,0.003523815,0.00227404,0.001325711,0.01110008],"category_scores_gemma":[0.03229868,0.0004042633,0.001997351,0.004704461,0.001201186,0.003317912,0.0007434042,0.001608925,0.00146112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006616145,"about_ca_system_score_gemma":0.004152358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03279587,"about_ca_topic_score_gemma":0.02540538,"domain_scores_codex":[0.9906691,0.003411173,0.0002086688,0.0005504747,0.004454502,0.0007060289],"domain_scores_gemma":[0.9814819,0.01187377,0.0006882197,0.001127219,0.004700144,0.0001287749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001165158,0.0004100346,0.007397353,0.003182331,0.0009324126,0.0002676928,0.0002568336,0.0634026,0.002752504,0.278287,0.0583795,0.5835666],"study_design_scores_gemma":[0.0003265559,0.0006153036,0.0354518,0.0009574515,0.001821033,0.0004222376,0.0005476636,0.6611496,0.00413513,0.1445562,0.1497511,0.000265841],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2247053,0.06835127,0.4377035,0.01673081,0.003518965,0.001634021,0.003151469,0.001468485,0.2427362],"genre_scores_gemma":[0.9096342,0.01532935,0.04114267,0.001520792,0.001082527,0.0003405269,0.001606047,0.0002687805,0.02907513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03279587,"threshold_uncertainty_score":0.06520998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006009974430660685,"score_gpt":0.1876770330540959,"score_spread":0.1816670586234352,"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."}}