{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005626096,0.0001213827,0.0002480116,0.00006556974,0.0001114058,0.0000243354,0.00003907729,0.00009883489,0.000001736844],"category_scores_gemma":[0.00003048419,0.0001184879,0.0000101338,0.0001435237,0.0000270852,0.00008360939,0.00004002134,0.00020512,0.00000157164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009180674,"about_ca_system_score_gemma":0.00007730851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003192303,"about_ca_topic_score_gemma":0.00008722156,"domain_scores_codex":[0.9987298,0.00005052887,0.000589367,0.0002515031,0.00009809924,0.0002806854],"domain_scores_gemma":[0.9995888,0.0000459586,0.00006373895,0.0000677524,0.00001883348,0.0002149025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005360961,0.00002433345,0.6450535,0.01088885,0.00001281044,0.000006088657,0.005890239,0.00004155471,0.00001247508,0.0009482143,0.0003449134,0.3367234],"study_design_scores_gemma":[0.00142194,0.0001348611,0.9739293,0.0001371916,0.00001175318,0.000008527694,0.006970457,0.01446526,0.0002668384,0.0000380454,0.002384554,0.0002312671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958699,0.001414487,0.001334,0.0004712233,0.00007410577,0.0004433496,0.0000070666,0.000320259,0.00006559005],"genre_scores_gemma":[0.9979369,0.0005429768,0.001085317,0.000329076,0.00004114223,0.00004321538,0.000008238689,0.00001247742,6.760933e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3364921,"threshold_uncertainty_score":0.4831797,"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."}}