{"id":"W3085410529","doi":"10.2196/19874","title":"Measuring Mobility and Room Occupancy in Clinical Settings: System Development and Implementation","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Commonwealth Scientific and Industrial Research Organisation","keywords":"Occupancy; Computer science; Environmental science; Engineering; Architectural engineering","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":[0.005507367,0.0006511118,0.000621519,0.001313601,0.0004481144,0.001511312,0.001948758,0.001032614,0.00177056],"category_scores_gemma":[0.01209257,0.0004767251,0.0004275715,0.001177583,0.0004798227,0.001528339,0.001396757,0.0007892125,0.001206402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106857,"about_ca_system_score_gemma":0.001653819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004652663,"about_ca_topic_score_gemma":0.002914536,"domain_scores_codex":[0.9969444,0.001296978,0.0002819267,0.0005927312,0.0007122933,0.0001717493],"domain_scores_gemma":[0.9941506,0.002048128,0.0003533832,0.0006655687,0.002394339,0.0003880148],"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":[0.001300203,0.001804428,0.1847619,0.000871525,0.0002885335,0.0004700848,0.001615471,0.0338446,0.0326944,0.001659727,0.008001168,0.732688],"study_design_scores_gemma":[0.001011087,0.006468045,0.1826183,0.0006962795,0.0004806228,0.00160529,0.002394876,0.7018836,0.0691018,0.003835938,0.02948055,0.0004237668],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3857775,0.0009063264,0.5897813,0.00212358,0.0002276452,0.004321636,0.001731516,0.01112347,0.004007042],"genre_scores_gemma":[0.6014419,0.0005492451,0.3926193,0.0002887748,0.00008705303,0.002335325,0.00163356,0.0001273409,0.0009175581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005507367,"threshold_uncertainty_score":0.02912605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07498379658850528,"score_gpt":0.3615062218610849,"score_spread":0.2865224252725797,"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."}}