{"id":"W6961323375","doi":"10.15027/16041","title":"海外子会社の企業者活動 : インタビュー調査に基づいて <論説>","year":2014,"lang":"en","type":"other","venue":"Institutional Repositories DataBase (IRDB)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Keiretsu; Subsidiary; Multinational corporation; Entrepreneurship; Order (exchange); Competitive advantage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00123176,0.000302775,0.0002765594,0.006913122,0.00164337,0.003885093,0.0006570018,0.0003216398,0.07584832],"category_scores_gemma":[0.004261129,0.00032387,0.0001587851,0.01210686,0.000565346,0.00312521,0.001266558,0.0004267114,0.02731599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003182042,"about_ca_system_score_gemma":0.004120437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1550401,"about_ca_topic_score_gemma":0.1887078,"domain_scores_codex":[0.9993042,0.00007106978,0.0001121698,0.00009833383,0.0003290825,0.00008518302],"domain_scores_gemma":[0.9967867,0.0006472311,0.0003565627,0.0003901833,0.00149033,0.0003289344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001893173,0.0001052265,0.05183725,0.001019494,0.00002175535,0.000497284,0.003982237,0.0004429146,0.001451305,0.02285794,0.6207379,0.2968574],"study_design_scores_gemma":[0.00001553622,0.0000119691,0.04971992,0.0001180802,0.00001686192,0.000171607,0.00291002,0.0005276391,0.001712783,0.00142559,0.9433409,0.00002911615],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06676188,0.001553685,0.006441196,0.001942404,0.000172701,0.0003396189,0.3338924,0.003692682,0.5852033],"genre_scores_gemma":[0.1628826,0.004283769,0.01286415,0.0003996751,0.0001038475,0.0004931462,0.4858352,0.001260073,0.3318776],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1550401,"threshold_uncertainty_score":0.3082753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01367461267535956,"score_gpt":0.2543323916870337,"score_spread":0.2406577790116741,"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."}}