{"id":"W2051990220","doi":"10.1007/s00530-012-0268-y","title":"Exertion interfaces for computer videogames using smartphones as input controllers","year":2012,"lang":"en","type":"article","venue":"Multimedia Systems","topic":"Green IT and Sustainability","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Human–computer interaction; Leverage (statistics); Context (archaeology); Interface (matter); Input device; User interface; Multimedia; Artificial intelligence; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000342542,0.0001780236,0.0003086052,0.00008557385,0.00006456642,0.00005583281,0.0000967662,0.0001135578,0.00001293375],"category_scores_gemma":[0.00005466039,0.0001591665,0.0000800715,0.00007262841,0.00003569809,0.0002673789,0.00002206807,0.00007743222,0.00004362144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001722515,"about_ca_system_score_gemma":0.00001425111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002640161,"about_ca_topic_score_gemma":0.00001114928,"domain_scores_codex":[0.9989772,0.00004638263,0.0003058794,0.0001364962,0.0001255706,0.0004084812],"domain_scores_gemma":[0.9993711,0.0001906969,0.00004670549,0.0001780866,0.00008830306,0.0001250852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006393587,0.0005140749,0.2977322,0.007257308,0.001350649,0.00001488043,0.0473231,0.338688,0.0609789,0.0002109598,0.02087285,0.2244177],"study_design_scores_gemma":[0.0008435213,0.00003040918,0.002299181,0.00005723946,0.0000263196,0.000006976335,0.0009023927,0.986873,0.001898806,0.000008163213,0.006848505,0.0002055231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9059808,0.001394709,0.08547506,0.00002505086,0.005687273,0.0009696515,0.00001176664,0.0002982188,0.0001574373],"genre_scores_gemma":[0.9942497,0.000004013744,0.004613144,0.00001141544,0.0008686819,0.0001032876,0.00001036737,0.00003402,0.000105384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.648185,"threshold_uncertainty_score":0.6490622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01883782654439838,"score_gpt":0.2463286899958385,"score_spread":0.2274908634514401,"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."}}