{"id":"W6980104869","doi":"","title":"Autoline This Week #1604: Accelerating East","year":2012,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Automotive industry; General motors; Communism; Quarter (Canadian coin); World War II","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003117887,0.00077083,0.0002755357,0.0008470136,0.002356659,0.004721938,0.0005771028,0.001470867,0.6923335],"category_scores_gemma":[0.001112886,0.0003044858,0.0003654499,0.0009719441,0.0003834712,0.002645958,0.001809272,0.001560136,0.5005276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056325,"about_ca_system_score_gemma":0.001300729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0108605,"about_ca_topic_score_gemma":0.03749249,"domain_scores_codex":[0.9997348,0.00001679812,0.000006308311,0.00002918603,0.0001447415,0.00006807969],"domain_scores_gemma":[0.9993579,0.00003599132,0.00002278259,0.00006926099,0.0002463725,0.0002677166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005753529,0.000007482449,0.00006245114,0.00001714953,3.701021e-7,0.00001513132,0.00002819778,0.000003681163,0.00004314669,0.0004449018,0.9898415,0.009530138],"study_design_scores_gemma":[0.000001474595,0.000004205913,0.0004851154,0.00001735643,5.102376e-7,0.00001554776,0.00006621423,0.000008419712,0.00005276749,0.00006834959,0.9992781,0.000001852865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008768542,0.0007522908,0.0001583375,0.003929973,0.003546635,0.00005018329,0.0009750498,0.00104661,0.9886641],"genre_scores_gemma":[0.001289603,0.0002763747,0.0000523122,0.0006963724,0.0002544056,0.000009690387,0.0002668129,0.0002040858,0.9969503],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3076665,"threshold_uncertainty_score":0.4388489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148033707095794,"score_gpt":0.2033441904188891,"score_spread":0.1885408197093097,"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."}}