{"id":"W2885704911","doi":"10.1109/memea.2018.8438741","title":"Eulerian Magnification of Multi-Modal RGB-D Video for Heart Rate Estimation","year":2018,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"RGB color model; Computer science; Computer vision; Artificial intelligence; Magnification; Passband; Modality (human–computer interaction); Band-pass filter; Engineering; Electronic engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000352915,0.0003846711,0.0002064355,0.0004120715,0.0001188477,0.0003109952,0.0002626369,0.0002597457,0.001229969],"category_scores_gemma":[0.001411899,0.0001298757,0.0002186876,0.0002756287,0.0001815739,0.0004169974,0.0004543135,0.0002915507,0.0001999717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002185106,"about_ca_system_score_gemma":0.0002257233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001038537,"about_ca_topic_score_gemma":0.001886168,"domain_scores_codex":[0.9997923,0.00004235098,0.000009262605,0.00003655624,0.0001044612,0.00001514556],"domain_scores_gemma":[0.9997379,0.0001034684,0.00004419523,0.00003834644,0.00006262693,0.00001346798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003407471,0.00007408514,0.002872819,0.0001790562,0.00004367219,0.0001022577,0.0001589027,0.05173955,0.3252172,0.00331267,0.0009955926,0.6149635],"study_design_scores_gemma":[0.00001602808,0.0002067864,0.007618987,0.00003202744,0.00002675389,0.0003148135,0.00005243514,0.8613773,0.1240421,0.001738563,0.004537208,0.00003699402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05066049,0.000294413,0.9470173,0.00006646165,0.00003352324,0.00003941183,0.00005377467,0.0004071464,0.00142759],"genre_scores_gemma":[0.5689045,0.0003668994,0.4292042,0.00004978045,0.00003135601,0.0000423371,0.00009916694,0.00004728507,0.001254507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001229969,"threshold_uncertainty_score":0.004114687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303030518485566,"score_gpt":0.2689463646125347,"score_spread":0.2459160594276791,"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."}}