{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001567851,0.0001737212,0.000180708,0.0001536839,0.0002023953,0.00009406816,0.0005402461,0.00007761541,0.00001088112],"category_scores_gemma":[0.00003322043,0.0001609175,0.00004640417,0.0004772356,0.00005973245,0.0001932396,0.0001209018,0.0002655764,0.00005784636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001158039,"about_ca_system_score_gemma":0.0001109163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008260621,"about_ca_topic_score_gemma":0.000001914638,"domain_scores_codex":[0.9983352,0.0001511273,0.0002618617,0.0004355351,0.0003496268,0.0004666282],"domain_scores_gemma":[0.998693,0.0006090612,0.00005642721,0.0003990563,0.000117131,0.0001252954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001011572,0.0002105586,0.000008815495,0.000006106917,0.00003768216,0.00002151404,0.0003433493,0.01590268,0.003239806,0.6263218,0.0004634671,0.3533431],"study_design_scores_gemma":[0.000720339,0.002374622,0.00131088,0.00004334009,0.00003527822,0.0001587057,0.00003757321,0.3586456,0.3025818,0.3195035,0.01356213,0.001026173],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001387874,0.0001544146,0.9964546,0.0005243452,0.00004513649,0.0005927428,6.049472e-7,0.0002391385,0.0006011259],"genre_scores_gemma":[0.5902461,0.0000631634,0.4089036,0.0005744158,0.00003795346,0.0000268864,0.000001383178,0.00001237136,0.0001341818],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5888582,"threshold_uncertainty_score":0.6562023,"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."}}