{"id":"W2889411674","doi":"10.7717/peerj.5439","title":"Energy cost associated with moving platforms","year":2018,"lang":"en","type":"article","venue":"PeerJ","topic":"Occupational Health and Performance","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Cardiorespiratory fitness; Heart rate; Physical medicine and rehabilitation; Motion (physics); Energy expenditure; Task (project management); Medicine; Simulation; Physical therapy; Computer science; Engineering; Internal medicine; Blood pressure; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002404963,0.0002973089,0.0001749344,0.0003521409,0.0002046142,0.0003327476,0.0002356428,0.0002455672,0.00249608],"category_scores_gemma":[0.001010143,0.00009595462,0.0001672639,0.0002472359,0.0002172905,0.0002040422,0.0005647824,0.0001217981,0.0002017043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002148703,"about_ca_system_score_gemma":0.0001704245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001316859,"about_ca_topic_score_gemma":0.001701703,"domain_scores_codex":[0.9997702,0.00005514035,0.00001864626,0.00004012548,0.00007734072,0.00003853332],"domain_scores_gemma":[0.9995102,0.000143653,0.000183183,0.0000312321,0.00007624144,0.00005554983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004360321,0.0006457752,0.3191095,0.001121886,0.0004227859,0.0009374367,0.0008137988,0.008935228,0.5787572,0.0003859114,0.0003530185,0.08415718],"study_design_scores_gemma":[0.00001626033,0.00211229,0.9816362,0.00003199833,0.00006406026,0.0003897414,0.0003236306,0.002186003,0.01245389,0.000291348,0.0004787921,0.00001570901],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982073,0.0001618949,0.0009944221,0.00002170096,0.000004267365,0.00001905566,0.0001021552,0.000004775628,0.0004844754],"genre_scores_gemma":[0.9984499,0.0001096226,0.0009520652,0.000009948242,0.000004882024,0.00001777865,0.0001300062,0.000002789642,0.0003230537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00249608,"threshold_uncertainty_score":0.008350253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07580887029654752,"score_gpt":0.4229481583757879,"score_spread":0.3471392880792403,"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."}}