{"id":"W2980497143","doi":"10.1139/apnm-2019-0450","title":"Greater energy demand of exercise during pregnancy does not impact mechanical efficiency","year":2019,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Pregnancy-related medical research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Pregnancy; Medicine; Gestation; Body mass index; Energy expenditure; Weight gain; Treadmill; Gestational age; Obstetrics; Physical activity; Novelty; Physical therapy; Body weight; Psychology; Internal medicine; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0002823168,0.0002172194,0.0002869564,0.0001390027,0.0001587689,0.0004194857,0.0001985133,0.0003086354,0.001914923],"category_scores_gemma":[0.002149892,0.0001812455,0.000260828,0.0001423555,0.0002605814,0.000198409,0.0003914963,0.0004431534,0.0002047855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002020984,"about_ca_system_score_gemma":0.0002988857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002797939,"about_ca_topic_score_gemma":0.003948969,"domain_scores_codex":[0.9997453,0.00006712355,0.00001948837,0.00005880124,0.00004868332,0.00006064964],"domain_scores_gemma":[0.9993599,0.0002317668,0.0001976256,0.00007430308,0.00003867538,0.00009772211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00615344,0.001162752,0.7404085,0.0004401112,0.000346027,0.001643285,0.001105323,0.0005482644,0.1288354,0.000633702,0.0008166904,0.1179065],"study_design_scores_gemma":[0.00001890251,0.001118991,0.9952785,0.00003617139,0.00004902378,0.0004095159,0.0002169791,0.0001869016,0.001674743,0.0001748771,0.0008291933,0.00000618528],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968888,0.0006548535,0.0003083645,0.0001903072,0.00002259907,0.00001270534,0.0001172906,0.000004723629,0.001800275],"genre_scores_gemma":[0.9985678,0.0004371017,0.0001987389,0.00006482694,0.000007861986,0.00002327489,0.00009906805,0.000003993508,0.000597183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002797939,"threshold_uncertainty_score":0.006406069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028783085076183,"score_gpt":0.2694263570733064,"score_spread":0.2591385262225446,"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."}}