{"id":"W4385693208","doi":"10.1155/2023/9795267","title":"Retracted: Integration and Application of Online Sports Resources Based on Multidimensional Intelligent Technology and Resource Optimization Architecture","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"AI and Big Data Applications","field":"Computer Science","cited_by":0,"is_retracted":true,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Architecture; Resource (disambiguation); Computer science; Systems engineering; Engineering; Operations research; Human–computer interaction; Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007252158,0.0007114341,0.0006608879,0.001068043,0.0006708823,0.001848268,0.001986754,0.0005668076,0.005038838],"category_scores_gemma":[0.001460611,0.0003497927,0.0007145937,0.00108718,0.0003463811,0.002249757,0.002340216,0.0007038044,0.001248955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006545925,"about_ca_system_score_gemma":0.001535457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01332996,"about_ca_topic_score_gemma":0.01216466,"domain_scores_codex":[0.9995241,0.00009410393,0.00003686629,0.0001185178,0.0001475318,0.00007898707],"domain_scores_gemma":[0.999469,0.00005289391,0.00002720267,0.0001655261,0.0001847429,0.0001006959],"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":[0.001489897,0.001952806,0.02578898,0.0004188571,0.0004959751,0.001694146,0.001354669,0.1161215,0.03348167,0.01801906,0.03462126,0.7645611],"study_design_scores_gemma":[0.00009912548,0.0003695218,0.008845273,0.00004628172,0.00019341,0.00022651,0.0006793147,0.9299129,0.01837196,0.008158433,0.03300681,0.00009038545],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.3336273,0.0009386641,0.5982079,0.001267168,0.0006163056,0.0007175355,0.001478808,0.02826701,0.03487933],"genre_scores_gemma":[0.7133379,0.0003363124,0.2631521,0.0002503373,0.00006928745,0.0002209757,0.002684493,0.0006996969,0.01924897],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9994332,"threshold_uncertainty_score":0.02650476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00740361472046356,"score_gpt":0.2496602612319296,"score_spread":0.242256646511466,"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."}}