{"id":"W2913799641","doi":"10.1561/1100000041","title":"Exertion Games","year":2016,"lang":"en","type":"article","venue":"Foundations and Trends® in Human–Computer Interaction","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Perspective (graphical); Exertion; Human–computer interaction; Computer science; Context (archaeology); Work (physics); Engineering; Artificial intelligence; Physical therapy; Medicine","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":[0.0007290373,0.001801945,0.0005585199,0.0008467336,0.0007039161,0.002192514,0.001506901,0.001036278,0.02536062],"category_scores_gemma":[0.003535396,0.0002502877,0.0008335467,0.0003525374,0.0007965926,0.002405027,0.00327482,0.0009076188,0.003448704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00035551,"about_ca_system_score_gemma":0.0003859856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008024272,"about_ca_topic_score_gemma":0.001235113,"domain_scores_codex":[0.9993375,0.0001714039,0.00004937887,0.0001140346,0.0002041195,0.0001236827],"domain_scores_gemma":[0.9991999,0.0003676749,0.00006383593,0.00008150814,0.0001279514,0.0001591859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003035294,0.001559513,0.008228779,0.004209437,0.0003398682,0.001436557,0.005661336,0.01124424,0.04412512,0.2449559,0.09108231,0.5841217],"study_design_scores_gemma":[0.0006097173,0.002501007,0.01693847,0.001469777,0.0004652728,0.001799288,0.00185019,0.03087043,0.01713797,0.08856919,0.8375204,0.0002682031],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1495232,0.006394193,0.3920372,0.003295992,0.001831193,0.002749858,0.002484049,0.009689581,0.4319948],"genre_scores_gemma":[0.7152131,0.005354073,0.1372431,0.001835411,0.0004600268,0.0032309,0.003285748,0.0009915464,0.1323861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02536062,"threshold_uncertainty_score":0.0848397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03347544928296987,"score_gpt":0.3268492114647387,"score_spread":0.2933737621817689,"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."}}