{"id":"W1996283974","doi":"10.1007/s00191-008-0104-x","title":"Firm adaptiveness and performance heterogeneity: the case of sales–advertising dynamics in an evolving product market","year":2008,"lang":"en","type":"article","venue":"Journal of Evolutionary Economics","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University; McGill University","funders":"","keywords":"Persistence (discontinuity); Industrial organization; Product (mathematics); Economics; Dynamics (music); Entrepreneurship; New product development; Microeconomics; Evolutionary economics; Focus (optics); Product differentiation; Marketing; Business; Neoclassical economics","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":[0.005078704,0.0004290046,0.001270644,0.001507769,0.001119985,0.00330455,0.001655665,0.004204958,0.004375879],"category_scores_gemma":[0.02533631,0.0005486131,0.001097524,0.001043291,0.002614375,0.003827257,0.001531305,0.002041801,0.0003095265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001377836,"about_ca_system_score_gemma":0.0005383003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009451572,"about_ca_topic_score_gemma":0.004580469,"domain_scores_codex":[0.9992256,0.0003048929,0.00003464941,0.000139538,0.0000705853,0.0002246181],"domain_scores_gemma":[0.9803231,0.01381843,0.002755895,0.00104464,0.0005649555,0.001493094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001218938,0.0008417531,0.108416,0.0001562972,0.0004780235,0.005488357,0.002598555,0.6328168,0.009807288,0.2038073,0.00255724,0.03181349],"study_design_scores_gemma":[0.0001182676,0.0001364051,0.03656226,0.00001246642,0.0000896943,0.0004836913,0.00072276,0.8959029,0.0002778088,0.06524681,0.0003595441,0.00008742473],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904943,0.00009706972,0.005910809,0.001052953,0.000009636287,0.00001389817,0.00003938783,0.00002327311,0.00235868],"genre_scores_gemma":[0.9988781,0.00003891194,0.0004354446,0.00003292338,0.00001574748,0.000003872804,0.00001344674,0.000004999398,0.000576567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009451572,"threshold_uncertainty_score":0.02685905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07082814710070233,"score_gpt":0.3055987851836064,"score_spread":0.2347706380829041,"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."}}