{"id":"W1462384449","doi":"10.4018/ijgbl.2015100101","title":"Exergaming Theories","year":2015,"lang":"en","type":"article","venue":"International Journal of Game-Based Learning","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Computer science; Relevance (law); Sociology; Political science; Law","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":[0.001476512,0.001120987,0.0005874397,0.002281686,0.001525791,0.003486544,0.001932929,0.002036458,0.01936505],"category_scores_gemma":[0.004251808,0.0003547464,0.0006960568,0.001254611,0.007264012,0.003244199,0.003393861,0.001947203,0.003182559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002030501,"about_ca_system_score_gemma":0.002059435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002038661,"about_ca_topic_score_gemma":0.001237939,"domain_scores_codex":[0.998223,0.0006051237,0.0001200676,0.0003243972,0.0005271325,0.0002002841],"domain_scores_gemma":[0.9986957,0.0007478039,0.0001335297,0.00009224126,0.0002161983,0.0001144798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003516132,0.0001594997,0.002823351,0.001393144,0.0000459303,0.0002616602,0.004282531,0.00113519,0.0001622086,0.8937811,0.00784502,0.08807506],"study_design_scores_gemma":[0.00007482279,0.0002169463,0.006806764,0.003476953,0.00008882173,0.00147048,0.006944651,0.002691479,0.0003923578,0.6020019,0.3757689,0.00006596769],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02617506,0.03190006,0.04437164,0.01010744,0.001074616,0.0007303113,0.0003834556,0.0001185673,0.885139],"genre_scores_gemma":[0.8113503,0.05526008,0.02791753,0.005832756,0.0008208418,0.001620723,0.0005698513,0.00008507013,0.09654285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01936505,"threshold_uncertainty_score":0.0647825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224854596225178,"score_gpt":0.3020954751724442,"score_spread":0.2798469292101924,"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."}}