{"id":"W4399722910","doi":"10.32920/26052622.v1","title":"Adaptive Gamification: Application in Online Learning and Collaboration","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Online learning; Knowledge management; Multimedia","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":[0.002192043,0.0009161081,0.0005251184,0.001486679,0.0005350217,0.002977772,0.001542234,0.001688672,0.007236521],"category_scores_gemma":[0.006144376,0.0002859944,0.0008893433,0.001012584,0.00128615,0.002488219,0.004455064,0.001286629,0.001295912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005231824,"about_ca_system_score_gemma":0.0006433866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00057351,"about_ca_topic_score_gemma":0.0006458109,"domain_scores_codex":[0.9989886,0.0005477376,0.0000575535,0.0001321827,0.0001898752,0.00008409855],"domain_scores_gemma":[0.9976646,0.001754969,0.00008593345,0.0002068362,0.0001166708,0.0001709902],"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":[0.0005460256,0.001424869,0.005426641,0.0017408,0.0001098304,0.001014554,0.005081296,0.02762108,0.01138807,0.1322093,0.007411844,0.8060257],"study_design_scores_gemma":[0.0004494972,0.001966447,0.01000982,0.002526948,0.000293132,0.003221629,0.003528694,0.25379,0.02034288,0.4255411,0.278065,0.0002648642],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09538533,0.003967402,0.8297921,0.002307913,0.0003959467,0.001364592,0.0001783744,0.004977418,0.06163092],"genre_scores_gemma":[0.3671269,0.002808066,0.6190786,0.0003670342,0.00008852782,0.001145003,0.0001921865,0.0002103589,0.008983356],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007236521,"threshold_uncertainty_score":0.02420855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976095927691352,"score_gpt":0.3678387945040233,"score_spread":0.3380778352271098,"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."}}