{"id":"W4402889645","doi":"10.2196/63306","title":"Identifying Gravity-Related Artifacts on Ballistocardiography Signals by Comparing Weightlessness and Normal Gravity Recordings (ARTIFACTS): Protocol for an Observational Study","year":2024,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accelerometer; Acceleration; Angular acceleration; Gyroscope; Ballistocardiography; SIGNAL (programming language); Physics; Noise (video); Acoustics; Computer science; Artificial intelligence","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003070817,0.0005027424,0.0005663595,0.000789889,0.0006514761,0.00153569,0.0005758871,0.0002197818,0.00004308279],"category_scores_gemma":[0.0001082537,0.0004917037,0.0001858506,0.001436502,0.0001830467,0.001511846,0.000232633,0.001283921,0.00006726196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002738636,"about_ca_system_score_gemma":0.00008242859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005400306,"about_ca_topic_score_gemma":0.00003096018,"domain_scores_codex":[0.9952054,0.0004941841,0.0007881395,0.0009832478,0.001380786,0.001148245],"domain_scores_gemma":[0.9978272,0.000687313,0.0000786878,0.000556908,0.0003844981,0.000465434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002422157,0.00388872,0.2834209,0.01549441,0.001113908,0.0002265495,0.003972284,0.002475075,0.6130016,0.003187846,0.0212504,0.04954614],"study_design_scores_gemma":[0.02409978,0.02227489,0.1712419,0.03276785,0.0001132218,0.00005935727,0.002755066,0.03002181,0.516029,0.05416416,0.1395954,0.006877549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.1125019,0.000007584682,0.001048177,0.00002447649,0.00006123455,0.8851696,0.00004182219,0.0006314968,0.0005136489],"genre_scores_gemma":[0.300827,2.852541e-7,0.0002721237,0.000003944283,0.0001548026,0.6985257,0.00002700999,0.0001109152,0.00007823091],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.188325,"threshold_uncertainty_score":0.9997535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4299888525645233,"score_gpt":0.5197651262857881,"score_spread":0.08977627372126473,"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."}}