{"id":"W2045017290","doi":"10.1007/s11747-011-0295-9","title":"Environments, unobserved heterogeneity, and the effect of market orientation on outcomes for high-tech firms","year":2011,"lang":"en","type":"article","venue":"Journal of the Academy of Marketing Science","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Market orientation; Econometrics; Extant taxon; Dynamism; Explanatory power; Economics; Latent variable; Interaction; Microeconomics; Marketing; Business; Statistics; Mathematics","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.06048199,0.0001110566,0.0003481173,0.000253294,0.0003305273,0.00004899895,0.001546816,0.00005625629,0.00004608533],"category_scores_gemma":[0.02600284,0.00004629774,0.0001695885,0.0007476711,0.001047213,0.0003060683,0.0003080481,0.0002194714,7.52768e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002659325,"about_ca_system_score_gemma":0.00002759059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003366168,"about_ca_topic_score_gemma":3.706814e-7,"domain_scores_codex":[0.9959339,0.000870114,0.001067068,0.0002059101,0.001744109,0.0001789309],"domain_scores_gemma":[0.9899738,0.00723805,0.002386698,0.000215873,0.0001375261,0.00004799967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00817875,0.0001052971,0.892145,0.00005784748,0.00007136949,5.673256e-7,0.001093661,0.0001107297,0.0386777,0.00427134,0.001815009,0.05347269],"study_design_scores_gemma":[0.001586325,0.0001969286,0.9074807,0.00008976551,0.00002597084,0.0000106815,0.0001294789,0.0008100533,0.08605131,0.00340164,0.0001609005,0.0000562184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971132,0.00002648302,0.0003431755,0.00140007,0.0003365288,0.0002624582,0.000003484557,0.000001869453,0.0005127113],"genre_scores_gemma":[0.9979268,0.00001083063,0.001546269,0.0002402696,0.00002567489,0.000002683912,3.278999e-8,0.000004685633,0.0002427769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05341648,"threshold_uncertainty_score":0.9822016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07818634541869296,"score_gpt":0.3496230345445691,"score_spread":0.2714366891258762,"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."}}