{"id":"W1920319559","doi":"10.48550/arxiv.1406.1276","title":"Real-time dynamics acquisition from irregular samples -- with application to anesthesia evaluation","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Army Research Office; Air Force Office of Scientific Research","keywords":"Wavelet; Computation; Spline (mechanical); Algorithm; Computer science; SIGNAL (programming language); Artificial intelligence; Mathematics; 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":[0.0003898994,0.0002878582,0.0002470908,0.0005663297,0.0001445186,0.0007689822,0.0002048039,0.000417174,0.001314726],"category_scores_gemma":[0.001479593,0.000126175,0.0001827651,0.0005716316,0.0002852945,0.0004950796,0.000553534,0.000241159,0.0002658143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001513052,"about_ca_system_score_gemma":0.0002033591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005102297,"about_ca_topic_score_gemma":0.0004737402,"domain_scores_codex":[0.9998604,0.0000307935,0.00001178918,0.00002914374,0.00005756254,0.00001030788],"domain_scores_gemma":[0.9997314,0.0001047125,0.00004442423,0.0000362608,0.00006107819,0.00002217344],"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":[0.0006699156,0.0001003292,0.007156208,0.0003504957,0.0000358375,0.0006953708,0.0004821112,0.07774761,0.2839681,0.008432488,0.001296112,0.6190655],"study_design_scores_gemma":[0.00003934408,0.0004290553,0.01300624,0.0000566571,0.00003355503,0.001313647,0.0002378026,0.8809134,0.09031606,0.005759817,0.007848931,0.00004543227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1676592,0.0006637039,0.828691,0.0002756879,0.00008542579,0.00009227441,0.0001561276,0.0005693578,0.001807233],"genre_scores_gemma":[0.6998097,0.0009153297,0.2970527,0.00004870024,0.00005957541,0.00006820617,0.0001843927,0.0001117122,0.001749688],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001314726,"threshold_uncertainty_score":0.004398227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02477753615951713,"score_gpt":0.1770525892575218,"score_spread":0.1522750530980047,"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."}}