{"id":"W4379515242","doi":"10.1108/mbr-10-2022-0161","title":"Export duration and product innovations: do born globals learn by exporting differently?","year":2023,"lang":"en","type":"article","venue":"Multinational Business Review","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Internationalization; Endogeneity; Product (mathematics); New product development; Industrial organization; Business; Instrumental variable; Learning effect; Product innovation; Duration (music); Marketing; Economics; Microeconomics; International trade; Econometrics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001530583,0.0002012899,0.0004244215,0.0006785522,0.0004402616,0.001655888,0.0004904337,0.000647792,0.005350263],"category_scores_gemma":[0.008960877,0.0001151581,0.0004783493,0.0009126959,0.001291781,0.001914042,0.001291893,0.001256206,0.0004339115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005454898,"about_ca_system_score_gemma":0.0005309015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010278,"about_ca_topic_score_gemma":0.01156537,"domain_scores_codex":[0.9993899,0.0001153441,0.00004154475,0.0001730152,0.0001035313,0.0001765919],"domain_scores_gemma":[0.9855086,0.005672354,0.005893428,0.0007239344,0.0004012093,0.00180037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001353571,0.0001051137,0.9842569,0.00003586039,0.00008203109,0.0002087351,0.002850014,0.0002431913,0.0003665882,0.0008202167,0.0001605878,0.01073541],"study_design_scores_gemma":[0.000005419842,0.00009669099,0.995648,0.00002823744,0.00003281824,0.00006332906,0.002484455,0.0002063034,0.000140795,0.0005999447,0.0006860407,0.000008118761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979703,0.0003181867,0.0001302007,0.0002158075,0.000005748745,0.000004933612,0.00007793531,0.000002801571,0.001274029],"genre_scores_gemma":[0.9988369,0.0001503547,0.00007289806,0.000067202,0.000009468785,0.000003815594,0.0001141704,0.000003388925,0.000741677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01010278,"threshold_uncertainty_score":0.02008796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03182128012155895,"score_gpt":0.2832583136883141,"score_spread":0.2514370335667552,"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."}}