{"id":"W2624967628","doi":"","title":"The effectiveness of pairing analog and digital games to teach computer science principles to female youth","year":2017,"lang":"en","type":"article","venue":"Journal of computing sciences in colleges","topic":"Educational Games and Gamification","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer game; Economic shortage; Computer science; Mathematics education; Representation (politics); Analogue electronics; Multimedia; Psychology; Engineering; Electrical engineering; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.006344665,0.0000703747,0.0001677633,0.0002518725,0.0006689169,0.0004464528,0.0009158491,0.00001907005,0.000001010364],"category_scores_gemma":[0.0008627376,0.00004632672,0.00003192177,0.000375198,0.0007821941,0.0002414869,0.0002134428,0.00009569788,0.000001177944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000429552,"about_ca_system_score_gemma":0.0001697984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002030246,"about_ca_topic_score_gemma":0.00000745484,"domain_scores_codex":[0.998792,0.0001067628,0.0003356591,0.0002059319,0.0003587557,0.0002008735],"domain_scores_gemma":[0.9980499,0.001030043,0.000390459,0.000216079,0.0002391678,0.00007433698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001060654,0.0001352921,0.8980446,0.00002271332,0.00001834922,0.000003570301,0.0144426,0.007465203,0.0004498154,0.01684625,0.00005373312,0.06241174],"study_design_scores_gemma":[0.0001599454,0.0003161516,0.9941341,0.0002740197,0.000003258034,0.00002237604,0.003556976,0.0006800945,0.0002363248,0.0002742609,0.0002811956,0.00006134908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934183,0.000118514,0.002777375,0.0008614453,0.0009079534,0.0001415046,0.000001929806,0.000002818358,0.001770179],"genre_scores_gemma":[0.9966411,0.000003647626,0.003144013,0.00003813877,0.0001296951,0.000001096722,5.246151e-8,0.000002704041,0.0000395326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09608939,"threshold_uncertainty_score":0.5144836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04783255251220985,"score_gpt":0.3737583275006222,"score_spread":0.3259257749884123,"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."}}