{"id":"W2603351023","doi":"10.4018/ijgbl.2017040102","title":"Serious Game Leverages Productive Negativity to Facilitate Conceptual Change in Undergraduate Molecular Biology","year":2017,"lang":"en","type":"article","venue":"International Journal of Game-Based Learning","topic":"Educational Games and Gamification","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto Mississauga","keywords":"Test (biology); Mathematics education; Negativity effect; Multivariate analysis of variance; Psychology; Video game; Computer science; Cognitive psychology; Multimedia; Statistics; Mathematics; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000599883,0.0001565828,0.0002568683,0.000358715,0.00006343823,0.00009577965,0.0005038856,0.00009435698,0.0001714768],"category_scores_gemma":[0.0009473911,0.0001531417,0.0001262284,0.00008111804,0.00018207,0.0002416482,0.00005443405,0.0005528843,0.00007755152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000220097,"about_ca_system_score_gemma":0.0001643734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003796979,"about_ca_topic_score_gemma":0.00004079007,"domain_scores_codex":[0.998439,0.000293144,0.0004291261,0.0002924182,0.0003110649,0.0002353135],"domain_scores_gemma":[0.9981417,0.0001511313,0.0006897756,0.0002445712,0.0006573108,0.000115488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001760156,0.0008900238,0.7025041,0.00001665646,0.0006360328,0.0004583587,0.02639581,0.01034501,0.02468164,0.01923398,0.0002649812,0.2128133],"study_design_scores_gemma":[0.001975112,0.000592133,0.9671478,0.0001606997,0.00002411157,0.00008364116,0.0008939833,0.0001880495,0.00159197,0.001975045,0.02513091,0.0002365533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612604,0.000277457,0.01023595,0.02578708,0.001559287,0.0002311629,0.00001146624,0.00001296651,0.0006241693],"genre_scores_gemma":[0.9970946,0.00001820541,0.0009263801,0.0006676135,0.0004577631,0.00003614887,0.00001789934,0.00001853656,0.0007628413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2646437,"threshold_uncertainty_score":0.6244936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08363049784227615,"score_gpt":0.3946317336410406,"score_spread":0.3110012357987644,"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."}}