{"id":"W1510259022","doi":"","title":"Embedding educational content between gameplay: An example from a sports action videogame","year":2005,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Educational Games and Gamification","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Action (physics); Content (measure theory); Embedding; Advertising; Multimedia; Computer science; Mathematics; Human–computer interaction; Psychology; Artificial intelligence; Business; Physics; Mathematical analysis","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":[0.0003581171,0.0005422584,0.0003770395,0.001043867,0.001785318,0.002151076,0.0008130132,0.002000581,0.004218984],"category_scores_gemma":[0.001892901,0.0002202764,0.0004078051,0.0008005866,0.001169523,0.001192533,0.001267367,0.001254851,0.0007447937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004564514,"about_ca_system_score_gemma":0.000427923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01024795,"about_ca_topic_score_gemma":0.0198813,"domain_scores_codex":[0.9996797,0.0001152639,0.00001024358,0.00002911237,0.0001004499,0.00006523365],"domain_scores_gemma":[0.9987808,0.0008749185,0.00002095531,0.00004919113,0.0001195229,0.0001546683],"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":[0.003481127,0.005434081,0.03624379,0.002784469,0.0002851413,0.04942722,0.1439698,0.02346772,0.1301784,0.1317334,0.0695862,0.4034087],"study_design_scores_gemma":[0.0008160542,0.003292098,0.1089095,0.001164623,0.0005015197,0.021578,0.1402676,0.1357623,0.1004313,0.08097868,0.4056583,0.0006400194],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8456877,0.0004498679,0.05982605,0.00340559,0.0002567188,0.0004760212,0.001053709,0.000887237,0.08795711],"genre_scores_gemma":[0.9254463,0.0003305372,0.0517425,0.0004277954,0.0000261405,0.0001394353,0.0006142573,0.0002226411,0.02105043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01024795,"threshold_uncertainty_score":0.02037656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1417071573268467,"score_gpt":0.3620555496687862,"score_spread":0.2203483923419395,"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."}}