{"id":"W2745664977","doi":"10.5465/ambpp.2015.18438abstract","title":"Who Needs Business Experience? How Pre-Foundation Innovation Activities Impact Early Exports","year":2015,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Internationalization; International business; Entrepreneurship; Foundation (evidence); Experiential learning; Imprinting (psychology); Stock (firearms); Business; Marketing; Knowledge management; Public relations; Management; Political science; Engineering; Economics; International trade","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":[0.001993858,0.0001786964,0.0002748021,0.0008860336,0.0008953528,0.004390873,0.0005369242,0.0007734756,0.01112028],"category_scores_gemma":[0.01465081,0.0001611252,0.0002376165,0.0008394847,0.001132724,0.00341686,0.002117952,0.001292252,0.001347465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005185382,"about_ca_system_score_gemma":0.0008854408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00317125,"about_ca_topic_score_gemma":0.003562925,"domain_scores_codex":[0.998869,0.0003319351,0.0000624279,0.0001117545,0.0001859971,0.0004388409],"domain_scores_gemma":[0.9821107,0.00697864,0.004556021,0.0005977895,0.0009726501,0.004784133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002453471,0.0005407299,0.9435253,0.00007952669,0.00003999117,0.00113774,0.0192485,0.000238529,0.0006184913,0.002404192,0.001132589,0.03078894],"study_design_scores_gemma":[0.000009530881,0.0002346928,0.9213125,0.0001504267,0.00002488422,0.0005130817,0.0691418,0.0002352615,0.000492854,0.001764111,0.006099467,0.00002144019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945927,0.0001652722,0.0001385082,0.0004776617,0.000009044177,0.000004214831,0.00005764605,0.000003724602,0.004551215],"genre_scores_gemma":[0.9986052,0.0001374134,0.00004977585,0.00004806998,0.00000920557,0.000004876724,0.00007711832,0.000005004204,0.001063384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01112028,"threshold_uncertainty_score":0.03720105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04322050184183136,"score_gpt":0.2831596119218284,"score_spread":0.239939110079997,"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."}}