{"id":"W2358096917","doi":"","title":"Text Information Extraction in Colorful Scene Image Based on Mean-Shift Algorithm","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Mean-shift; Semantics (computer science); Artificial intelligence; Information extraction; Image (mathematics); Annotation; Algorithm; Projection (relational algebra); Pattern recognition (psychology); Computer vision; Natural language processing; Information retrieval","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":[],"consensus_categories":[],"category_scores_codex":[0.0002140036,0.0004958797,0.0005715099,0.001895838,0.0003225844,0.0005694798,0.0005372909,0.0004730138,0.002439501],"category_scores_gemma":[0.0005327587,0.0002406509,0.000497455,0.001306155,0.0002825061,0.000818114,0.0002833701,0.0003458904,0.001635185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003154715,"about_ca_system_score_gemma":0.000441517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001799639,"about_ca_topic_score_gemma":0.00206974,"domain_scores_codex":[0.9998291,0.00001620216,0.00001173985,0.00005540928,0.00006505855,0.00002260095],"domain_scores_gemma":[0.9997961,0.0000326665,0.00001684739,0.0000205185,0.0001217684,0.0000121378],"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":[0.000349875,0.00005774231,0.0009262483,0.0001902119,0.00004116688,0.0001482434,0.0001105976,0.006995154,0.2889596,0.003077772,0.003824693,0.6953187],"study_design_scores_gemma":[0.00007345143,0.0002812828,0.009854981,0.00003805606,0.0001320602,0.0007812934,0.0001690349,0.572548,0.3911999,0.005259464,0.01956883,0.00009365803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06339037,0.0006146859,0.9298968,0.0001852164,0.0001198729,0.00008498314,0.0002231234,0.002544287,0.002940581],"genre_scores_gemma":[0.2053105,0.0006239365,0.7852072,0.00009103724,0.0001036914,0.0001032188,0.0006249518,0.0002067071,0.007728729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002439501,"threshold_uncertainty_score":0.008160949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006564150840877742,"score_gpt":0.2538023095956642,"score_spread":0.2472381587547864,"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."}}