{"id":"W86910587","doi":"","title":"How do retailers rate the United States and Canada as furniture sources compared to China","year":2008,"lang":"en","type":"article","venue":"","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Business; Furniture industry; Supply chain; Marketing; Market share; Strengths and weaknesses; Perspective (graphical); Dimension (graph theory); Commerce; Geography","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":[0.0006516404,0.0002455977,0.000298612,0.003246291,0.00238807,0.004223689,0.0004761245,0.0003348466,0.003716223],"category_scores_gemma":[0.003638664,0.0001417382,0.0003156051,0.008125439,0.001043393,0.001532895,0.0009843141,0.0004689564,0.0005258196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006624138,"about_ca_system_score_gemma":0.005956008,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8941018,"about_ca_topic_score_gemma":0.9446202,"domain_scores_codex":[0.9989544,0.00007817213,0.00003766426,0.000103414,0.0004663344,0.0003600243],"domain_scores_gemma":[0.9972516,0.0001397747,0.0006517442,0.00009067599,0.001435399,0.0004308979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008092939,0.00001995779,0.9641395,0.00003632651,0.0000854625,0.0001567335,0.00825817,0.0002053475,0.0002146841,0.002638277,0.003722628,0.02044208],"study_design_scores_gemma":[0.000004990198,0.00001759291,0.9544675,0.0000664619,0.00003446332,0.00009421436,0.03441976,0.0004086144,0.0002264639,0.0002940359,0.009930258,0.00003562083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630237,0.0008655607,0.0001980919,0.001460359,0.00004852464,0.00003058616,0.001094982,0.00001443668,0.03326361],"genre_scores_gemma":[0.9955857,0.0007395533,0.00008783448,0.0001946756,0.000007174801,0.000005896879,0.000511448,0.000007611512,0.002860225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1058982,"threshold_uncertainty_score":0.2130437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013208473321771,"score_gpt":0.1798324850859155,"score_spread":0.1666240117641445,"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."}}