{"id":"W3091381938","doi":"10.1145/3377814.3381716","title":"GidgetML","year":2020,"lang":"en","type":"article","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Adaptation (eye); Competence (human resources); Multimedia; Serious game; Game based learning; Process (computing); Mathematics education; Human–computer interaction; Psychology; Programming language","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":[0.0006557241,0.001406206,0.0004185247,0.001108066,0.0002301183,0.001722497,0.002827663,0.00135705,0.07085719],"category_scores_gemma":[0.004468295,0.0005026677,0.0007948846,0.0006408567,0.0004693108,0.002231076,0.003065705,0.001840031,0.02297237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005460709,"about_ca_system_score_gemma":0.0005722975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001982789,"about_ca_topic_score_gemma":0.003027741,"domain_scores_codex":[0.9994605,0.0001136511,0.00005434728,0.00009377535,0.0002180924,0.00005975408],"domain_scores_gemma":[0.9990094,0.0004530357,0.0000675484,0.0001746812,0.0001615316,0.0001338534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002398094,0.0004850356,0.002744915,0.002127788,0.0001231343,0.0009441344,0.0009482917,0.01009338,0.01612243,0.0470485,0.4516808,0.4652834],"study_design_scores_gemma":[0.0003392464,0.0003351828,0.001968243,0.0001837197,0.00003806563,0.0006978406,0.00006071487,0.01988291,0.007051565,0.01236617,0.9569992,0.0000771008],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02387668,0.002100193,0.3916683,0.001603618,0.001170823,0.002130205,0.03501841,0.3257228,0.216709],"genre_scores_gemma":[0.1765486,0.002656088,0.3956317,0.002845743,0.0002610371,0.003117589,0.1114294,0.04873904,0.2587707],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.07085719,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06349219204927321,"score_gpt":0.3515188376377533,"score_spread":0.2880266455884801,"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."}}