{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002849942,0.0007419583,0.0003282017,0.0005427566,0.0004685618,0.001569304,0.001505092,0.0004981501,0.002155881],"category_scores_gemma":[0.01779986,0.0003411404,0.0004034918,0.0001390249,0.001152265,0.001102555,0.002438328,0.0009441985,0.0003393715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005805622,"about_ca_system_score_gemma":0.0009045145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007486948,"about_ca_topic_score_gemma":0.001830587,"domain_scores_codex":[0.997918,0.00111449,0.0001213483,0.0002697291,0.000398215,0.0001783343],"domain_scores_gemma":[0.9908698,0.005974167,0.001006032,0.0006389843,0.0004483985,0.001062582],"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":[0.003739013,0.01717048,0.1383202,0.00143276,0.0002554646,0.001337612,0.05816314,0.01018255,0.1955672,0.008452669,0.006207036,0.5591719],"study_design_scores_gemma":[0.001393719,0.05222817,0.4085799,0.001107238,0.0008003028,0.004106963,0.02730062,0.13076,0.2235084,0.05353312,0.09587348,0.0008080495],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757482,0.00006487355,0.02104318,0.0002662244,0.00002513002,0.0002106099,0.00002659261,0.0002982946,0.002316802],"genre_scores_gemma":[0.9524578,0.00009864806,0.0452643,0.000152723,0.00001075517,0.0003016179,0.00009100314,0.0000340517,0.001589075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002849942,"threshold_uncertainty_score":0.01507211,"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."}}