{"id":"W1995447062","doi":"10.3390/jlpea3020114","title":"Synergistic Sensory Platform: Robotic Nurse","year":2013,"lang":"en","type":"article","venue":"Journal of Low Power Electronics and Applications","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"CrossWing (Canada); Wilfrid Laurier University","funders":"","keywords":"Flexibility (engineering); Operability; Computer science; Embedded system; Reliability (semiconductor); Robot; Electronics; Real-time computing; Simulation; Artificial intelligence; Engineering; Power (physics); Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003600348,0.0007076022,0.0002932534,0.0004786461,0.0004285413,0.0008037267,0.001434806,0.000759037,0.006843477],"category_scores_gemma":[0.0003286798,0.0002658638,0.0002958226,0.0001997882,0.0004169783,0.0009639187,0.001670221,0.0004680485,0.002480491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003708358,"about_ca_system_score_gemma":0.0006750713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004802693,"about_ca_topic_score_gemma":0.0006763522,"domain_scores_codex":[0.9994153,0.00008864838,0.00001974089,0.0001323121,0.0002684609,0.00007559912],"domain_scores_gemma":[0.9998442,0.00002193354,0.00002394557,0.00001855994,0.00005448259,0.00003685566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000661537,0.0003563181,0.003259909,0.001480924,0.00005273783,0.001854905,0.001052633,0.01234032,0.2147437,0.06707991,0.01738572,0.6797314],"study_design_scores_gemma":[0.000198597,0.005833991,0.005947218,0.0006349912,0.0001514695,0.01030259,0.00110906,0.09232761,0.167418,0.01721321,0.6985661,0.0002971379],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09515342,0.003269351,0.7576095,0.001143907,0.001030226,0.0006703158,0.0001788995,0.00294123,0.1380033],"genre_scores_gemma":[0.5640298,0.002246335,0.3076302,0.001153705,0.000369617,0.0007815902,0.0002689229,0.0001847843,0.1233351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006843477,"threshold_uncertainty_score":0.02289373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005571449540342843,"score_gpt":0.2403963978168041,"score_spread":0.2348249482764612,"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."}}