{"id":"W2420843909","doi":"10.5220/0005734602110218","title":"Can a Wii Bowling Tournament Improve Older Adults’ Attitudes towards Digital Games?","year":2016,"lang":"en","type":"article","venue":"","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Tournament; Computer science; Multimedia; Human–computer interaction; Computer graphics (images); Mathematics","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":[0.001313263,0.0003705213,0.0004786035,0.0003391904,0.0005359874,0.000736456,0.0003333147,0.0007620723,0.001691232],"category_scores_gemma":[0.004354159,0.0001817817,0.0005097596,0.0001860517,0.0002888707,0.0005339218,0.0004844864,0.0006675925,0.0002949422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000303265,"about_ca_system_score_gemma":0.000416381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003068079,"about_ca_topic_score_gemma":0.008800642,"domain_scores_codex":[0.9995307,0.0001521886,0.00004653065,0.00005080328,0.0001153883,0.0001043942],"domain_scores_gemma":[0.9987048,0.0003449027,0.0002624935,0.00005269382,0.000140541,0.0004945429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006743539,0.0857607,0.4803565,0.001773798,0.0008659767,0.0003087092,0.01072212,0.0003284298,0.01135289,0.0002259118,0.002365377,0.3991961],"study_design_scores_gemma":[0.0008668727,0.02324985,0.964416,0.0001770249,0.0004371893,0.0001122168,0.00518145,0.0005710071,0.001340969,0.0001495689,0.003458206,0.0000396059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986859,0.0002493745,0.00005213862,0.0001385784,0.00002186363,0.00005885568,0.00001869501,0.000005552999,0.0007689926],"genre_scores_gemma":[0.9979246,0.0005586646,0.0005868982,0.000160717,0.00003615459,0.0001088623,0.00004854686,0.000001325325,0.0005741894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003068079,"threshold_uncertainty_score":0.006945312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021098934598089,"score_gpt":0.2711110002978051,"score_spread":0.2609000109518242,"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."}}