{"id":"W6981945828","doi":"","title":"Gamification as Bridge of Intrinsic and Extrinsic Motivations in Chinese Post-secondary Education","year":2024,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Bridge (graph theory); Field (mathematics); Work (physics); Term (time)","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":[0.001056001,0.0002346402,0.000297065,0.0007723163,0.001143307,0.00213819,0.0003424338,0.000382398,0.004814863],"category_scores_gemma":[0.004651521,0.0001833248,0.0002819478,0.000623421,0.001294952,0.001121889,0.001337559,0.001371461,0.0002173234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009767462,"about_ca_system_score_gemma":0.001371392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01129553,"about_ca_topic_score_gemma":0.01681308,"domain_scores_codex":[0.9995748,0.0001225123,0.00001841084,0.00006565468,0.00008934667,0.0001291834],"domain_scores_gemma":[0.9974445,0.001167978,0.0003584969,0.000100475,0.0002600745,0.0006685246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005210104,0.00103757,0.8550608,0.0001318657,0.00007509701,0.0005252247,0.06422395,0.0004790528,0.002357466,0.02447096,0.001059415,0.05005768],"study_design_scores_gemma":[0.00001988126,0.0001417382,0.9591814,0.0000670486,0.00005560332,0.0001059783,0.0288998,0.002916173,0.0004993692,0.006605663,0.001476402,0.00003101214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949471,0.00003374632,0.0001725393,0.00008182173,0.000003379503,0.000006580906,0.000009077311,0.000002475505,0.004743353],"genre_scores_gemma":[0.9990383,0.00001462602,0.00009463674,0.000008067986,6.175391e-7,0.000003743555,0.0000100375,0.000001134591,0.0008288248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01129553,"threshold_uncertainty_score":0.02245957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046531969290533,"score_gpt":0.283672793998943,"score_spread":0.2732074743060377,"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."}}