{"id":"W1499642519","doi":"","title":"Exploring Product-Country Relationships: The Case of Danish Products in Canada","year":2007,"lang":"en","type":"article","venue":"ASAC","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal; University of Ottawa","funders":"","keywords":"Product (mathematics); Danish; Business; Linguistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006234311,0.0002426716,0.0003827565,0.002436558,0.00546283,0.00699333,0.001119462,0.001241878,0.006650528],"category_scores_gemma":[0.002685416,0.0002279007,0.000401204,0.007076459,0.002677592,0.00217833,0.002324003,0.001190028,0.0002785723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03577597,"about_ca_system_score_gemma":0.02109285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9824184,"about_ca_topic_score_gemma":0.9921879,"domain_scores_codex":[0.9992664,0.0001418932,0.00002381119,0.000073511,0.0001359822,0.000358271],"domain_scores_gemma":[0.9979201,0.0007572515,0.000318276,0.00005866334,0.0005638912,0.0003819543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006358558,0.0003065027,0.6023588,0.0006223931,0.0003762814,0.01825384,0.1546541,0.01579355,0.002703714,0.1358193,0.01009446,0.05838123],"study_design_scores_gemma":[0.00003522442,0.00007858136,0.370524,0.0003539773,0.0002500219,0.0007345267,0.537825,0.007250361,0.001018692,0.007181661,0.0746365,0.0001114324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.956936,0.001173301,0.0003822568,0.001209721,0.000008052365,0.00002818384,0.000639731,0.000008395507,0.03961437],"genre_scores_gemma":[0.9955918,0.0005933477,0.0002366873,0.00005692789,0.000001436304,0.000003803096,0.0001894445,0.000004075554,0.003322601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03577597,"threshold_uncertainty_score":0.2595741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08290193250810907,"score_gpt":0.2180632876142868,"score_spread":0.1351613551061777,"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."}}