{"id":"W3170177199","doi":"","title":"国外研究報告 EビジネスとEコマース : 国際的展開の分析 : 越境EC研究を中心に(カナダ : University of Ontario Institute of Technology, Faculty of Business and Information Technology, 2019年4月1日~2020年3月31日)","year":2020,"lang":"ja","type":"article","venue":"阪南大学産業経済研究所年報","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Information technology; Library science; Engineering management; Business; Political science; Engineering; Computer science","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":[0.00203188,0.0003876359,0.0002023398,0.001238626,0.00525623,0.0122202,0.0005908909,0.002039537,0.01487989],"category_scores_gemma":[0.003375942,0.0002750674,0.0002472647,0.001625421,0.01469641,0.005629021,0.001736945,0.00237042,0.002298895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0155412,"about_ca_system_score_gemma":0.01103017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2108637,"about_ca_topic_score_gemma":0.2649186,"domain_scores_codex":[0.9988317,0.0002574626,0.00005237735,0.0002025893,0.0004675082,0.0001883809],"domain_scores_gemma":[0.9986755,0.0003454853,0.0001275122,0.00008693298,0.0005528959,0.0002116576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006487363,0.00003236137,0.002564613,0.0001413614,0.0000102187,0.0002393678,0.01653963,0.0001447596,0.0005216978,0.8011697,0.09992449,0.07864699],"study_design_scores_gemma":[0.00001269118,0.00001938878,0.008623425,0.0002357288,0.0000233279,0.0002702644,0.01575042,0.0002667771,0.001249354,0.1395651,0.8339476,0.00003604478],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02648174,0.02311667,0.004806489,0.06202712,0.002855799,0.0000746216,0.0002904734,0.000101288,0.8802458],"genre_scores_gemma":[0.6700746,0.01378811,0.005943153,0.006691013,0.001139239,0.00006466384,0.0001655162,0.0001346184,0.3019991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7891364,"threshold_uncertainty_score":0.4192726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02025602799227347,"score_gpt":0.2204484978625722,"score_spread":0.2001924698702987,"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."}}