{"id":"W2375491617","doi":"","title":"Design and Implementation of a Distributed Platform for Handwritten Chinese Character Recognition","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Scheduling (production processes); Character recognition; Character (mathematics); Architecture; Middleware (distributed applications); Distributed computing; Artificial intelligence","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":[0.001066229,0.0005348185,0.0007165673,0.00062661,0.00075148,0.001382946,0.002881171,0.0007289092,0.003555975],"category_scores_gemma":[0.001143148,0.0004314991,0.0004084763,0.0004435204,0.0004156899,0.0009986536,0.0008701858,0.00110912,0.001441692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007754856,"about_ca_system_score_gemma":0.001718709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00197356,"about_ca_topic_score_gemma":0.001033925,"domain_scores_codex":[0.9992685,0.00008831573,0.00006849007,0.0001855029,0.0002655299,0.0001237374],"domain_scores_gemma":[0.999131,0.0001126365,0.00006063393,0.0001661171,0.0003624585,0.0001672304],"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":[0.002243992,0.001545192,0.005964518,0.001051371,0.0002512025,0.001497604,0.001104946,0.05777446,0.3271198,0.03616745,0.02199863,0.5432808],"study_design_scores_gemma":[0.001026068,0.001659092,0.003096597,0.0001017218,0.0002244833,0.0007725962,0.0002763921,0.6341392,0.2612884,0.006692449,0.09058106,0.0001420177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04148703,0.0003310099,0.9351491,0.0002588958,0.0002771185,0.001304679,0.000153984,0.01564577,0.005392422],"genre_scores_gemma":[0.3203956,0.0002510592,0.6674904,0.0002282344,0.00007817682,0.001157446,0.0006816561,0.0004519227,0.009265493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003555975,"threshold_uncertainty_score":0.01189595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451758822925278,"score_gpt":0.2625324529485283,"score_spread":0.2480148647192755,"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."}}