{"id":"W1535842698","doi":"10.3233/thc-140817","title":"Evaluation of active video games intensity: Comparison between accelerometer-based predictions and indirect calorimetric measurements","year":2014,"lang":"en","type":"article","venue":"Technology and Health Care","topic":"Physical Activity and Health","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé","keywords":"Accelerometer; Energy expenditure; Physical activity; Intensity (physics); Calorimetry; Physical therapy; Medicine; Physics; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007935998,0.0001024019,0.000590851,0.0006951218,0.0001679133,0.000003135948,0.00004066836,0.0001946833,0.00000438717],"category_scores_gemma":[0.0002723426,0.00009333169,0.0000253413,0.0006151063,0.0001708507,0.00004984164,0.0000334928,0.0003695585,0.000001249327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002235396,"about_ca_system_score_gemma":0.0003047311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001845675,"about_ca_topic_score_gemma":0.0001257328,"domain_scores_codex":[0.9988504,0.0001154482,0.0002404688,0.0002354516,0.0003587884,0.0001994219],"domain_scores_gemma":[0.9989602,0.00008788038,0.000176664,0.0001740735,0.0004780587,0.0001231355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009811504,0.0002262241,0.4556102,0.0004786568,0.0000984732,1.063059e-7,0.000708362,0.000002004666,0.000260669,0.00008212708,0.000145185,0.5422899],"study_design_scores_gemma":[0.001928514,0.00276825,0.9848737,0.0002047269,0.0003355311,0.000002401042,0.0005905757,0.0006053447,0.007403889,0.0008295167,0.0003796078,0.00007792357],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932927,0.001188161,0.0006451313,0.003892013,0.00005811367,0.0005719304,0.00002067159,0.00009933401,0.0002319618],"genre_scores_gemma":[0.9991713,0.00003597376,0.0003882973,0.0002779698,0.00005591691,0.0000304489,0.00003122266,0.000007408475,0.000001422139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5422119,"threshold_uncertainty_score":0.3805956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2172102744862923,"score_gpt":0.4200182025397993,"score_spread":0.202807928053507,"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."}}