{"id":"W4387432014","doi":"10.34190/ecgbl.17.1.1766","title":"Microgames and Language Learning: Performance Before Competence?","year":2023,"lang":"en","type":"article","venue":"European Conference on Games Based Learning","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Competence (human resources); Vocabulary; Psychology; Impromptu; Word learning; Literacy; Linguistics; Computer science; Multimedia; Pedagogy; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002115071,0.0006411276,0.0006152138,0.00109779,0.001228981,0.004115175,0.001091661,0.0008502367,0.005034288],"category_scores_gemma":[0.01097747,0.0002753765,0.0002664466,0.0005576991,0.004311131,0.00269271,0.005625032,0.001742512,0.001037386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126017,"about_ca_system_score_gemma":0.001069941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008473994,"about_ca_topic_score_gemma":0.01046624,"domain_scores_codex":[0.9958839,0.001323323,0.0002689763,0.0008498904,0.0009693329,0.0007045],"domain_scores_gemma":[0.9939492,0.001509197,0.00110167,0.0004511971,0.0006400123,0.002348718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008173898,0.003081115,0.672533,0.0006513065,0.0001728269,0.003547881,0.1356149,0.000731573,0.01374821,0.01622213,0.002249584,0.1506301],"study_design_scores_gemma":[0.00002579115,0.001679671,0.9339883,0.0002869214,0.00004297048,0.0009754187,0.04672883,0.000362948,0.002782928,0.003969741,0.009075656,0.00008080288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793352,0.0003384876,0.0002081311,0.000428227,0.00003446373,0.00002154662,0.00006397731,0.00001795376,0.01955206],"genre_scores_gemma":[0.9974142,0.0001424914,0.0002133124,0.00006077888,0.00001020511,0.00002427737,0.00005126424,0.00001025712,0.002073127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008473994,"threshold_uncertainty_score":0.01684934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615953307290074,"score_gpt":0.2971216103566386,"score_spread":0.2709620772837379,"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."}}