{"id":"W2609483211","doi":"10.1093/sleepj/zsx050.745","title":"0746 REVIEW OF A MULTISENSOR, LOW COST, AND UNOBTRUSIVE APPROACH TO DETECT MOVEMENTS IN SIT AND SLEEP","year":2017,"lang":"en","type":"review","venue":"SLEEP","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"","keywords":"sync; Computer science; Polysomnography; Videography; Feature (linguistics); Electromyography; Movement (music); Simulation; Artificial intelligence; Computer vision; Physical medicine and rehabilitation; Medicine; Electroencephalography","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":[0.000342382,0.0003939813,0.0017313,0.0002350031,0.00004472158,0.00002979688,0.0002055329,0.0002250325,0.00001066202],"category_scores_gemma":[0.0001148784,0.0003565589,0.0001642539,0.0001967511,0.00003341458,0.0000611332,0.00009358381,0.0002855206,0.00002666676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00011019,"about_ca_system_score_gemma":0.00001322446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005319426,"about_ca_topic_score_gemma":0.00002696568,"domain_scores_codex":[0.9983613,0.0001010143,0.0007148122,0.0003732899,0.0001844214,0.0002650948],"domain_scores_gemma":[0.999051,0.00004621711,0.0002090777,0.000510395,0.00003899204,0.0001443349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001949673,0.000008356053,0.000003002594,0.13687,0.00008537401,0.000005658979,0.00007013957,0.00002734813,0.000001364697,0.000002479248,0.00008559682,0.8628387],"study_design_scores_gemma":[0.0003529433,0.00002752832,0.00004192129,0.07400674,0.0001399746,0.00004493054,0.00001148026,0.001847045,0.000004815399,0.000002182692,0.9231088,0.0004116812],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001693573,0.9940453,0.0003940625,0.000004082244,0.0002825654,0.002385403,0.00007488224,0.00005114407,0.00274562],"genre_scores_gemma":[0.000296665,0.9988589,0.0002221993,0.0000396704,0.00005443247,0.0003051739,0.00002429431,0.00006430343,0.0001343943],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9230232,"threshold_uncertainty_score":0.9998887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04265403365898789,"score_gpt":0.2980948524793919,"score_spread":0.255440818820404,"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."}}