{"id":"W3023329308","doi":"10.5539/cis.v13n2p46","title":"Multi-Agent System for Post-Stroke Medical Monitoring in Web-Based Platform","year":2020,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Damages; Set (abstract data type); Autonomy; Rehabilitation; Work (physics); Control (management); Stroke (engine); Plan (archaeology); Human–computer interaction; Medicine; Artificial intelligence; Physical therapy","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":[0.0006386464,0.0003292362,0.0004464455,0.0004760408,0.0006227912,0.00113824,0.001136088,0.0009238691,0.003209668],"category_scores_gemma":[0.001220581,0.0001624615,0.0003036466,0.000261597,0.0002196658,0.001031211,0.0008915383,0.0005268124,0.0009982407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003532399,"about_ca_system_score_gemma":0.0008546868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001975069,"about_ca_topic_score_gemma":0.001451532,"domain_scores_codex":[0.9995369,0.0001430145,0.00005974491,0.00008964208,0.00012298,0.00004783797],"domain_scores_gemma":[0.999587,0.0001050091,0.00005274802,0.00005413001,0.0001288738,0.00007218213],"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":[0.002306794,0.002003417,0.01890766,0.001212261,0.0005624954,0.005591315,0.002528294,0.1514037,0.1095052,0.05011825,0.04171373,0.6141469],"study_design_scores_gemma":[0.000212757,0.0004305778,0.004038431,0.00009642819,0.0001921139,0.0008733602,0.0002918057,0.9031843,0.02342614,0.009507138,0.05766375,0.00008318927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.110911,0.001352203,0.8522109,0.001112682,0.0003454862,0.001025775,0.0003590317,0.01241452,0.02026844],"genre_scores_gemma":[0.8327835,0.0006096283,0.1514188,0.0003025725,0.0001008093,0.000646786,0.0004382698,0.0001175525,0.01358218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003209668,"threshold_uncertainty_score":0.01073748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03738752825093426,"score_gpt":0.2710527099810097,"score_spread":0.2336651817300754,"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."}}