{"id":"W3122441458","doi":"","title":"A Critical Review of Market Entry Selection and Expansion into Japan's Market","year":2009,"lang":"en","type":"review","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Selection (genetic algorithm); Business; Economics; Computer science","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":[0.003884556,0.0006575033,0.001630163,0.005803742,0.0004325556,0.001901668,0.001082701,0.001362242,0.002432615],"category_scores_gemma":[0.007993612,0.000494986,0.0007646497,0.007335643,0.001021685,0.002980517,0.0008957074,0.001411131,0.0005257051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002216719,"about_ca_system_score_gemma":0.006081945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006079363,"about_ca_topic_score_gemma":0.01437527,"domain_scores_codex":[0.9991217,0.0001927309,0.0002417643,0.0001678718,0.0002075393,0.00006845676],"domain_scores_gemma":[0.992291,0.003943881,0.001218546,0.0001466049,0.002208097,0.0001919025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001634339,0.00009163869,0.003314896,0.05808072,0.0004522076,0.0002598281,0.0003268257,0.0003267041,0.0005190463,0.005308476,0.08175139,0.8494049],"study_design_scores_gemma":[0.00006166875,0.0002789647,0.0206915,0.03679061,0.001469233,0.0008219435,0.0004786302,0.0002247919,0.0005545537,0.002873873,0.9356847,0.00006938671],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002930358,0.9979395,0.00005384536,0.001017278,0.0002081273,0.000003838787,0.00002800217,0.000002145553,0.0004542547],"genre_scores_gemma":[0.003021496,0.9953657,0.0001626411,0.0007831994,0.0004299089,0.000006763903,0.00003779304,0.000001720846,0.000190797],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006079363,"threshold_uncertainty_score":0.02054375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164578060142528,"score_gpt":0.2778103045803403,"score_spread":0.256164523978915,"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."}}