{"id":"W4235897943","doi":"10.22215/etd/2014-10116","title":"Optimal Intertemporal Pricing Strategies for Firms Introducing New Products","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Product (mathematics); Early adopter; Pricing strategies; Relevance (law); Microeconomics; Marketing; Business; New product development; Economics; Industrial organization","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003015758,0.0003949404,0.000654837,0.0008196812,0.0003065507,0.00132841,0.0008810289,0.0002891017,0.001016062],"category_scores_gemma":[0.006916807,0.0002833972,0.0001860311,0.001150176,0.00003100359,0.000589282,0.00007534793,0.0003556006,0.0002045247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004993195,"about_ca_system_score_gemma":0.0008454371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001087407,"about_ca_topic_score_gemma":0.0002852465,"domain_scores_codex":[0.9956064,0.00006889163,0.001547171,0.001153266,0.00119211,0.0004321524],"domain_scores_gemma":[0.9956827,0.0005668625,0.001078016,0.000712243,0.001849687,0.0001105567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004400657,0.00007578349,0.0001525368,0.0002350793,0.00005981594,0.000002486177,0.009058421,0.001938792,0.005221865,0.05776323,0.5725927,0.3524592],"study_design_scores_gemma":[0.003789569,0.001172911,0.002453802,0.001138635,0.0001574374,0.00003498468,0.1246196,0.1307212,0.02633085,0.0912051,0.6148406,0.003535383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4275729,0.0001456042,0.3818481,0.00301061,0.01303706,0.002194036,0.000015961,0.0004285295,0.1717471],"genre_scores_gemma":[0.5107657,0.000002136865,0.07430155,0.0005111616,0.002902776,0.0000518317,0.0007735199,0.00008739451,0.4106039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3489238,"threshold_uncertainty_score":0.9999618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.097610959438814,"score_gpt":0.3815420103919145,"score_spread":0.2839310509531005,"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."}}