{"id":"W2922340873","doi":"10.1109/iciscae.2018.8666847","title":"Research on Text Detection in Network Advertisement Picture Based on Depth Learning","year":2018,"lang":"en","type":"article","venue":"","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Computer science; Artificial intelligence; Artificial neural network; Deep learning; Order (exchange); Machine learning; Information retrieval; Data mining; Pattern recognition (psychology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001376727,0.0001158994,0.0001043989,0.0004201538,0.0002342689,0.0001230418,0.0004228932,0.0001077601,0.0001933009],"category_scores_gemma":[0.00007220782,0.00009912567,0.00003569847,0.001088182,0.00005375619,0.000156533,0.0001174377,0.0005771415,0.0005673299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001783443,"about_ca_system_score_gemma":0.00004374643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006598041,"about_ca_topic_score_gemma":0.0005030627,"domain_scores_codex":[0.9979622,0.0004346617,0.0001853913,0.0004431215,0.0005406875,0.0004339795],"domain_scores_gemma":[0.9990965,0.0002497506,0.00003700918,0.0003725216,0.0001672896,0.00007696581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006102118,0.0001370001,0.001061724,0.000008024488,0.000003942945,0.00001370949,0.0001657042,0.001494623,0.0007824094,0.002887062,0.004217355,0.9891675],"study_design_scores_gemma":[0.001091994,0.006490915,0.02672135,0.0004917885,0.000002501791,0.000005128659,0.0001170056,0.5870742,0.3330535,0.009867529,0.0345404,0.0005437053],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01494294,0.000006310213,0.8590181,0.0005776376,0.0001484414,0.0003637964,1.323701e-7,0.000550123,0.1243924],"genre_scores_gemma":[0.974875,0.000004440201,0.02307568,0.00111441,0.0002018479,0.00005419406,0.000001191343,0.00001099388,0.0006621935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9886237,"threshold_uncertainty_score":0.7292068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03868862890194733,"score_gpt":0.3329343014802905,"score_spread":0.2942456725783432,"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."}}