{"id":"W4240057624","doi":"10.21203/rs.3.rs-46286/v1","title":"Remote Health Monitoring System for Bedbound Patients","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Healthcare system; Business; Computer science; Health care; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001101038,0.0004594873,0.000674245,0.0004345351,0.0003934081,0.0003644663,0.0007922559,0.0003789669,0.000003993739],"category_scores_gemma":[0.0004587428,0.0005190574,0.0002552401,0.0004686533,0.00005558341,0.000125111,0.0009730827,0.002003446,0.0001096989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003223735,"about_ca_system_score_gemma":0.0003439118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003133849,"about_ca_topic_score_gemma":0.000008898571,"domain_scores_codex":[0.9955825,0.0002433816,0.0006155226,0.0008032423,0.001413446,0.00134193],"domain_scores_gemma":[0.9972665,0.0004845677,0.0001002899,0.0008265846,0.0006988372,0.0006232488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005850464,0.0004179626,0.1230864,0.4456957,0.00221843,0.0003225629,0.0110826,0.04594743,0.03150888,0.001328733,0.03374974,0.3040565],"study_design_scores_gemma":[0.01884743,0.009240757,0.1069321,0.206992,0.0003469331,0.0000333821,0.02075304,0.08214871,0.4236185,0.02359354,0.09172707,0.01576662],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7607761,0.02321829,0.1205042,0.001549849,0.03979205,0.03178624,0.003905862,0.009059872,0.009407557],"genre_scores_gemma":[0.9898204,0.0003301128,0.005633405,0.000003490448,0.003332673,0.0003703028,0.0001849876,0.0002810345,0.00004363466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3921096,"threshold_uncertainty_score":0.9997261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1045616327034085,"score_gpt":0.3873042654867203,"score_spread":0.2827426327833118,"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."}}