{"id":"W4399870184","doi":"10.23977/acss.2024.080219","title":"Analysis of image restoration technology under RCNN","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Advanced Computing and Algorithms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004966073,0.00007998592,0.0002707597,0.0003917071,0.000121079,0.0001261239,0.0001296759,0.00006933074,0.000003711788],"category_scores_gemma":[0.00001427186,0.00007187968,0.00004696949,0.001625671,0.0002093621,0.0003047583,0.00003517579,0.00008956149,0.000001969794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003737491,"about_ca_system_score_gemma":0.00004441282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001706844,"about_ca_topic_score_gemma":0.0001668994,"domain_scores_codex":[0.9989952,0.0001177706,0.0002892615,0.0002528824,0.0001771973,0.0001676705],"domain_scores_gemma":[0.9994681,0.0002386581,0.00007324394,0.00011844,0.00006916228,0.0000324282],"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":[0.000007986637,0.00005695092,0.007424561,0.000234064,0.0002822638,0.00004157189,0.00634809,0.451492,0.000428952,0.1955121,0.00007253706,0.338099],"study_design_scores_gemma":[0.0001090792,0.00007683443,0.0004808767,0.000358637,0.00007376092,0.00000232169,0.001453977,0.9691644,0.00003492583,0.01156817,0.01649011,0.0001868734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08533069,0.03338072,0.8789181,0.0003260075,0.001048318,0.0001563122,0.000005247883,0.0001388792,0.0006957835],"genre_scores_gemma":[0.993086,0.0008724491,0.005775433,0.00001458077,0.000166996,0.000008381484,0.000002563164,0.000005400866,0.00006820309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9077553,"threshold_uncertainty_score":0.2931168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01714177425206108,"score_gpt":0.3399849456356718,"score_spread":0.3228431713836107,"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."}}