{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002010909,0.000147726,0.0003312882,0.0001074048,0.0001434209,0.00006930761,0.0001621323,0.00009753842,0.00810961],"category_scores_gemma":[0.00003189169,0.0001130219,0.00008435448,0.0001140687,0.00009009025,0.0001183084,0.0001239507,0.00003702347,0.0001221088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004348049,"about_ca_system_score_gemma":0.00001142193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004752798,"about_ca_topic_score_gemma":0.00002364034,"domain_scores_codex":[0.9988756,0.00005278521,0.0002958541,0.0002935063,0.0002516979,0.0002305406],"domain_scores_gemma":[0.9992983,0.00006466348,0.0001802738,0.000311255,0.00005851862,0.00008698074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002164173,0.0000493596,0.004219357,0.00004878689,0.00009857662,2.73708e-7,0.0005238314,0.0001542151,0.9923319,0.000107211,0.001616145,0.0008287018],"study_design_scores_gemma":[0.0009142748,0.0001869139,0.8941205,0.00003570368,0.001180594,0.000002486415,0.0002054609,0.001343758,0.09312614,0.00211996,0.006355371,0.0004088281],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978438,0.0002442728,0.0005315329,0.0002576142,0.0001894354,0.0004353627,0.0003576202,0.00002966055,0.0001106881],"genre_scores_gemma":[0.9966933,0.00005373668,0.001370136,0.0001016691,0.00006157679,0.0001541281,0.0001031805,0.00001215896,0.001450131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8992057,"threshold_uncertainty_score":0.9927971,"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."}}