{"id":"W2379676767","doi":"","title":"Design on Electronic Commercial Intelligent Search and Retriever","year":2007,"lang":"en","type":"article","venue":"Nonferrous Metals Design","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Labrador Retriever; Order (exchange); The Internet; World Wide Web; Business; Medicine","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":[0.0005725922,0.0006060898,0.0005389338,0.0009255449,0.0008279072,0.001850936,0.00218421,0.001116176,0.02583757],"category_scores_gemma":[0.001305608,0.0004646679,0.0005123153,0.001037131,0.0005055934,0.002518849,0.0006612728,0.0004101016,0.01209213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000964452,"about_ca_system_score_gemma":0.0006203247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001777685,"about_ca_topic_score_gemma":0.00142002,"domain_scores_codex":[0.999319,0.0001166716,0.00004850128,0.000159928,0.0002734129,0.00008251715],"domain_scores_gemma":[0.9995632,0.0000678837,0.00002640221,0.00008966743,0.0002257886,0.00002699632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001086284,0.0004682166,0.002327308,0.0007894302,0.0001115936,0.0008409212,0.000687663,0.03098098,0.07821988,0.2399251,0.04985136,0.5947112],"study_design_scores_gemma":[0.0005445582,0.001068774,0.001669403,0.0001187774,0.0002792037,0.002320755,0.0002997799,0.4769234,0.1308247,0.03714685,0.3486652,0.0001385119],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04169739,0.001158134,0.7641161,0.0008987286,0.0002123514,0.0006013454,0.0003329526,0.01192575,0.1790573],"genre_scores_gemma":[0.4898368,0.001207887,0.3619631,0.001057527,0.0001454545,0.000746538,0.0008738727,0.001182535,0.1429863],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02583757,"threshold_uncertainty_score":0.08643526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08089754149246665,"score_gpt":0.338531611799382,"score_spread":0.2576340703069154,"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."}}