{"id":"W2995695782","doi":"","title":"DEEP DIVE:Principles of Game-Based Learning","year":2020,"lang":"en","type":"article","venue":"Nursing Education Research Conference 2020","topic":"Educational Games and Gamification","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005631718,0.0001118132,0.0001625841,0.0001572149,0.0001349342,0.00007123366,0.0003671245,0.00009922042,0.003693288],"category_scores_gemma":[0.001005635,0.000118935,0.00005563095,0.0007216423,0.0003410256,0.00007971114,0.00002251032,0.0005370778,0.0004725452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001101354,"about_ca_system_score_gemma":0.001418793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000101736,"about_ca_topic_score_gemma":0.000004236274,"domain_scores_codex":[0.9979014,0.0004899036,0.000316654,0.0004179733,0.0005503681,0.0003236892],"domain_scores_gemma":[0.9978398,0.0003307968,0.0001503278,0.0002895704,0.001139125,0.0002503708],"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":[0.0003436776,0.002766542,0.02840547,0.0002105954,0.00006666707,0.000001982353,0.1190303,0.0008277755,0.01022307,0.3802888,0.03128909,0.426546],"study_design_scores_gemma":[0.00116189,0.001281886,0.4479378,0.0007949236,0.00006080375,0.000008615657,0.1460702,0.02603677,0.004514913,0.006061466,0.3653802,0.00069046],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5499256,0.002083756,0.0267923,0.1716106,0.002337589,0.001373688,0.00001484141,0.0002304206,0.2456313],"genre_scores_gemma":[0.9942458,0.00002390562,0.001413606,0.0003404435,0.0003667622,0.0001071214,0.00009782673,0.00002043612,0.003384112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4443202,"threshold_uncertainty_score":0.9972175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1992495294354787,"score_gpt":0.4739221234154958,"score_spread":0.2746725939800172,"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."}}