{"id":"W2342459200","doi":"10.1509/jim.15.0056","title":"Psychic Distance and Country Image in Exporter–Importer Relationships","year":2016,"lang":"en","type":"article","venue":"Journal of International Marketing","topic":"Wine Industry and Tourism","field":"Business, Management and Accounting","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Argument (complex analysis); Expectancy theory; Product (mathematics); Perspective (graphical); Structural equation modeling; Value (mathematics); Sample (material); Business; Psychic; Marketing; Economics; Psychology; Social psychology; Computer science; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001789394,0.00008452383,0.0001141921,0.000245864,0.00005106623,0.0001330418,0.0001576131,0.00004978048,0.0002789547],"category_scores_gemma":[0.001185121,0.00005908474,0.00003917165,0.0001103366,0.00003888909,0.001765369,0.00004949653,0.0002308791,0.00001158295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003907233,"about_ca_system_score_gemma":0.00001568437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009158719,"about_ca_topic_score_gemma":0.000008879895,"domain_scores_codex":[0.999029,0.00002505162,0.0004780864,0.000102279,0.0002528445,0.0001127666],"domain_scores_gemma":[0.9989439,0.0002280761,0.0005565924,0.0000602741,0.0001987176,0.00001241682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002111947,0.00004731449,0.9765335,0.0000244201,0.00002724768,0.0001358345,0.00001711075,0.000003192783,0.0006788189,0.001682656,0.01610066,0.004538057],"study_design_scores_gemma":[0.0009053008,0.000004424053,0.900261,0.0006086623,0.00001154138,0.00008855826,0.0001298954,0.0002847131,0.00000924634,0.003270387,0.09431532,0.000110921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413382,0.00006904872,0.00121773,0.01989622,0.000979386,0.00004831668,0.000002645342,0.00001133091,0.0364371],"genre_scores_gemma":[0.9944887,0.00001758787,0.0004216628,0.0003061755,0.004229533,0.000001305082,0.000001455561,0.00001010161,0.0005234402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07821466,"threshold_uncertainty_score":0.3054359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01402820249154551,"score_gpt":0.2307979072443129,"score_spread":0.2167697047527674,"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."}}