{"id":"W2800899095","doi":"10.1093/sleep/zsy061.677","title":"0678 Contactless 3D Detection Of Leg Movements In Sleep","year":2018,"lang":"en","type":"article","venue":"SLEEP","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sleep (system call); Physical medicine and rehabilitation; Polysomnography; Medicine; Neuroscience; Psychology; Computer science; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002734112,0.00008232319,0.0001442278,0.0001426357,0.00003696602,0.00003196223,0.0002943566,0.00005988587,0.00002482851],"category_scores_gemma":[0.00002233478,0.00007700588,0.00003313029,0.0003506578,0.0000300109,0.000247395,0.00007886476,0.00006829265,0.0001860381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004106993,"about_ca_system_score_gemma":0.00001234696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001406107,"about_ca_topic_score_gemma":0.0004166637,"domain_scores_codex":[0.9990571,0.00007389441,0.0002532569,0.0002216085,0.0002198051,0.0001743197],"domain_scores_gemma":[0.9994113,0.000025958,0.0001081578,0.0002886633,0.0001197193,0.00004618783],"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":[0.00004249824,0.0002988155,0.01957813,0.00007531934,0.00006098406,0.00001991287,0.005291879,0.0000314063,0.09216896,0.001945967,0.00009397831,0.8803921],"study_design_scores_gemma":[0.005300852,0.001169606,0.1441804,0.0003304743,0.00001612943,0.00004538237,0.0005592553,0.08777831,0.7217181,0.003433049,0.03454209,0.0009263677],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5420742,0.0000712014,0.4448704,0.00007790557,0.001668245,0.0002668656,0.000003127536,0.0000753549,0.01089271],"genre_scores_gemma":[0.9988519,0.000002035128,0.0007602436,0.000119703,0.0001280989,0.00001594827,9.737705e-7,0.000005252231,0.0001158421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8794658,"threshold_uncertainty_score":0.3140209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350058370415273,"score_gpt":0.2437266841946841,"score_spread":0.2302261004905314,"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."}}