{"id":"W2133565785","doi":"10.1109/iembs.1995.579620","title":"A bedside controller for use with micromodular electronic devices","year":2002,"lang":"en","type":"article","venue":"","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Microcontroller; Controller (irrigation); Software; Computer science; Embedded system; Set (abstract data type); Operating system","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":[0.000675706,0.001127442,0.000904689,0.0009279223,0.0005641534,0.0007390044,0.002134647,0.0008580814,0.1670705],"category_scores_gemma":[0.003048764,0.0004789239,0.0003628126,0.0003996112,0.0002501627,0.0007760759,0.001153672,0.0009150791,0.04244301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002975528,"about_ca_system_score_gemma":0.000714576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008718096,"about_ca_topic_score_gemma":0.0008993915,"domain_scores_codex":[0.9990283,0.0001136578,0.00007800559,0.0002235747,0.0004809675,0.00007542211],"domain_scores_gemma":[0.9978782,0.0004383609,0.00008589237,0.0004008082,0.000962835,0.0002339328],"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":[0.001584136,0.0006160932,0.003967126,0.0006689293,0.00006104437,0.000830633,0.0002337954,0.000644269,0.1014669,0.003460433,0.2278305,0.6586362],"study_design_scores_gemma":[0.001087833,0.002770338,0.01819426,0.0004339446,0.0003382792,0.009372083,0.0001631812,0.02870462,0.1412727,0.002370991,0.7950064,0.0002853034],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03026283,0.00164902,0.6654353,0.001174902,0.002515969,0.005655408,0.005330637,0.1537126,0.1342634],"genre_scores_gemma":[0.2955459,0.001283064,0.4014103,0.003675985,0.001157119,0.007826175,0.00797735,0.006530365,0.2745937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1670705,"threshold_uncertainty_score":0.5589064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599658095942499,"score_gpt":0.244987586167208,"score_spread":0.228991005207783,"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."}}