{"id":"W4405491278","doi":"10.1109/sensors60989.2024.10784889","title":"Contactless In-Bed Detection Using a Low-Cost Low-Resolution Radar","year":2024,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Radar; Computer science; Resolution (logic); Radar imaging; Remote sensing; Radar detection; Artificial intelligence; Geology; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.00006982507,0.00007511396,0.00008200588,0.00006524829,0.00002687074,0.00004069094,0.00003844314,0.00004637634,0.00003029562],"category_scores_gemma":[0.000006994909,0.00007156027,0.00003618472,0.0003086813,0.000008826667,0.00008572666,0.000009282036,0.0001214292,0.00007299758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008686879,"about_ca_system_score_gemma":0.000007391475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001411702,"about_ca_topic_score_gemma":0.00007208044,"domain_scores_codex":[0.9995555,0.00001349015,0.0001168354,0.0001206548,0.00005608031,0.0001374067],"domain_scores_gemma":[0.999806,0.00004856149,0.000005119992,0.00009618163,0.000009803261,0.00003432576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003185108,0.0000241834,0.00001615158,0.000129254,0.00001251479,0.000003805844,0.00007861092,0.008421363,0.8927886,0.004241453,0.00002475381,0.09425612],"study_design_scores_gemma":[0.0001263607,0.000004634857,0.002159976,0.00008803575,0.00001038381,0.000002797473,0.00003963925,0.9162855,0.07791518,0.001401861,0.001821164,0.0001444733],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6523252,0.000068232,0.3457802,0.00002544174,0.0002120071,0.0001487275,0.000003143555,0.0002688887,0.001168175],"genre_scores_gemma":[0.9947909,0.00000818398,0.005000571,0.00001187729,0.00009531109,0.00003473025,0.000002262233,0.00001730438,0.00003889732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9078642,"threshold_uncertainty_score":0.2918143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715167233728596,"score_gpt":0.2728258125950492,"score_spread":0.2556741402577632,"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."}}