{"id":"W1584048537","doi":"","title":"Knight Elimar’s Last Joust: A virtual environment game for promoting literacy across the curriculum","year":2007,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Educational Games and Gamification","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; University of Calgary","funders":"","keywords":"Knight; Curriculum; Literacy; Pedagogy; Sociology; Computer science","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":[0.0004925388,0.0005320282,0.000204006,0.0003759852,0.0006079934,0.001257739,0.0004473188,0.0006455712,0.01943389],"category_scores_gemma":[0.001549111,0.0001528348,0.0002485827,0.0001003496,0.0004099565,0.001806726,0.001360074,0.001187305,0.002959943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002568788,"about_ca_system_score_gemma":0.0005588383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002283505,"about_ca_topic_score_gemma":0.007394798,"domain_scores_codex":[0.9997939,0.0000719799,0.000006867554,0.00003760456,0.00004453476,0.00004502291],"domain_scores_gemma":[0.9994765,0.0001780939,0.00001910356,0.00001530847,0.00005943767,0.0002516349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.002332075,0.002956877,0.006101296,0.0007409424,0.00008828327,0.0008632382,0.0108566,0.001683812,0.03594641,0.02702717,0.3187074,0.5926958],"study_design_scores_gemma":[0.0004408624,0.002197363,0.01626972,0.0004376757,0.0001349589,0.001190982,0.006152573,0.009403517,0.01760849,0.01001893,0.9359554,0.0001895784],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3616956,0.002913331,0.131662,0.0228312,0.002193266,0.000669925,0.001183231,0.01112626,0.4657252],"genre_scores_gemma":[0.5465047,0.002141783,0.1164288,0.007197993,0.0001565449,0.0003442574,0.0006875565,0.001107329,0.325431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01943389,"threshold_uncertainty_score":0.06501281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02005444984050257,"score_gpt":0.324469715711876,"score_spread":0.3044152658713734,"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."}}