{"id":"W2735715270","doi":"10.5539/gjhs.v9n9p105","title":"Evaluation of Heart Rate in Daily Life Based on 10 Million Samples Database","year":2017,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Heart rate and cardiovascular health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Tokyo","keywords":"Heart rate; Evening; Demography; Medicine; Body mass index; Morning; Animal science; Cardiology; Internal medicine; Blood pressure; Biology; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001307219,0.0008036626,0.001018821,0.002797003,0.0003090786,0.001049606,0.0006459641,0.0005660502,0.001273143],"category_scores_gemma":[0.003778562,0.0001581199,0.0006216748,0.002021675,0.0001463887,0.0008475738,0.0006606508,0.0005326531,0.001327748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002584944,"about_ca_system_score_gemma":0.0003010936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002720642,"about_ca_topic_score_gemma":0.002194551,"domain_scores_codex":[0.9981888,0.0002651878,0.0003705994,0.0004660121,0.000567857,0.000141633],"domain_scores_gemma":[0.9982874,0.0003880474,0.0003213071,0.0003135837,0.0005441642,0.0001454559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001903242,0.001066752,0.6121845,0.001673786,0.001003451,0.001094069,0.0004039831,0.007877094,0.007697484,0.001107747,0.05708946,0.3068984],"study_design_scores_gemma":[0.000112338,0.0009785093,0.8929322,0.0002394304,0.0004224066,0.002086143,0.0007740717,0.06355666,0.006686741,0.0009814645,0.03109126,0.0001387547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7826918,0.006083384,0.02863382,0.000869946,0.001132673,0.0005723425,0.1679809,0.002913272,0.009121753],"genre_scores_gemma":[0.7623907,0.002252576,0.01659448,0.0002567521,0.0004870929,0.000626504,0.2149575,0.00008352502,0.002350895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002797003,"threshold_uncertainty_score":0.006913304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1259664801673891,"score_gpt":0.4324888879185335,"score_spread":0.3065224077511444,"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."}}