{"id":"W1999396449","doi":"10.1108/08858621011077736","title":"The effect of market orientation on innovation speed and new product performance","year":2010,"lang":"en","type":"article","venue":"Journal of Business and Industrial Marketing","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Market orientation; Market intelligence; Product innovation; Product (mathematics); Originality; New product development; Marketing; Business; Value (mathematics); Industrial organization; Computer science; Creativity; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004080947,0.0003404192,0.0002628368,0.001785707,0.0003356345,0.002019078,0.0003259311,0.0005324596,0.005697346],"category_scores_gemma":[0.02190731,0.0001335488,0.0006718519,0.001336539,0.0008366199,0.001593746,0.001060992,0.0007610048,0.0004237129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007893129,"about_ca_system_score_gemma":0.0006957405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009824234,"about_ca_topic_score_gemma":0.0008793389,"domain_scores_codex":[0.997934,0.0008557644,0.0001309669,0.0001847735,0.0006676922,0.0002267853],"domain_scores_gemma":[0.9408126,0.03830869,0.0142011,0.001559996,0.00223402,0.002883583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003623033,0.000789123,0.9393936,0.00018102,0.0002419088,0.0001944618,0.0008541793,0.002226252,0.002064749,0.003539123,0.0002592076,0.04989406],"study_design_scores_gemma":[0.00003497565,0.0005822045,0.9897912,0.00004551911,0.0001094162,0.000115241,0.0007236364,0.003621501,0.001038567,0.003041891,0.0008728355,0.00002299722],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874024,0.0002314831,0.001173112,0.0001901622,0.00000975632,0.00004461568,0.00006086922,0.00001618467,0.01087151],"genre_scores_gemma":[0.9990386,0.00007631558,0.0004652367,0.00003350789,0.00001789589,0.00001715895,0.00003095541,0.000003239883,0.0003172843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005697346,"threshold_uncertainty_score":0.02158237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0822722151306088,"score_gpt":0.3235518932657073,"score_spread":0.2412796781350985,"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."}}