{"id":"W2374323675","doi":"","title":"Difference Analysis of Environment Requirements for Furniture at Home and Abroad","year":2013,"lang":"en","type":"article","venue":"Furniture","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; China; European union; Supply chain; Commerce; International trade; Marketing; 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":[0.0003580775,0.0002044506,0.0001636734,0.0008441613,0.0003078373,0.0005153507,0.0002160133,0.0002299415,0.00231034],"category_scores_gemma":[0.0006776265,0.00009819748,0.0004362111,0.0007764991,0.0002322021,0.0004521115,0.0004361995,0.0001938154,0.0002825783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004748355,"about_ca_system_score_gemma":0.0002273432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00524954,"about_ca_topic_score_gemma":0.01023268,"domain_scores_codex":[0.9994552,0.00007958977,0.00003253902,0.00008301513,0.0002591081,0.00009063539],"domain_scores_gemma":[0.9994175,0.0001479919,0.0000969602,0.00004266714,0.0002404053,0.00005436656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001790154,0.000395988,0.6768177,0.0005460185,0.0002040723,0.001583186,0.002619172,0.0206783,0.1815826,0.004240428,0.00177105,0.1077713],"study_design_scores_gemma":[0.000009612216,0.0003796294,0.9478708,0.00002227339,0.0000850689,0.0004153115,0.005478422,0.008196017,0.03233988,0.0007688996,0.004378485,0.00005568711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901828,0.00009259439,0.002099025,0.00002235966,0.000004385375,0.00001053911,0.000258694,0.00001513414,0.007314551],"genre_scores_gemma":[0.9977413,0.00006756013,0.0006742535,0.000008018425,0.000001855212,0.000009641151,0.0003794773,0.000008711715,0.00110907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00524954,"threshold_uncertainty_score":0.01043797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02468423692815597,"score_gpt":0.2751329434360404,"score_spread":0.2504487065078844,"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."}}