{"id":"W4296251796","doi":"10.3390/electronics11182939","title":"A Framework and Method for Surface Floating Object Detection Based on 6G Networks","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Science Foundation of Henan Province; National Natural Science Foundation of China","keywords":"Computer science; Real-time computing; Process (computing); Preprocessor; Enhanced Data Rates for GSM Evolution; Block (permutation group theory); Object detection; Key (lock); Artificial intelligence; Feature extraction; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008839525,0.0001064336,0.0001037273,0.00002258466,0.0004472472,0.00002773156,0.0001826024,0.00007621497,0.00003876607],"category_scores_gemma":[0.000145881,0.0001118693,0.00003592555,0.0002492379,0.00003281973,0.00004152917,0.0001823971,0.0004737816,0.000002670806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005080662,"about_ca_system_score_gemma":0.00001054346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003723731,"about_ca_topic_score_gemma":0.00002065724,"domain_scores_codex":[0.9988812,0.0001401528,0.0001159109,0.0003010546,0.0001968837,0.000364851],"domain_scores_gemma":[0.9992411,0.0004299204,0.00006232535,0.0002386488,0.000003070399,0.00002492629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001129717,0.00005670252,0.003104518,0.000009034145,0.00001218829,0.000001239983,0.0002091674,0.8762714,0.01511651,0.0005725148,0.0002780147,0.1042557],"study_design_scores_gemma":[0.0003127122,0.001184143,0.0009365963,0.000008322432,0.00001787113,0.000004705396,0.000147659,0.8676575,0.08572938,0.01374928,0.02996699,0.0002848469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3972098,0.0003474226,0.6010829,0.0005073685,0.0001890496,0.0003240389,0.000003097744,0.0002707853,0.00006557303],"genre_scores_gemma":[0.8792267,0.00001752512,0.1204386,0.0001467431,0.00003411105,0.00005809807,0.000002479872,0.00001965311,0.0000560475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.482017,"threshold_uncertainty_score":0.4561896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789915821167931,"score_gpt":0.281307142214032,"score_spread":0.2634079840023527,"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."}}