{"id":"W4298201366","doi":"10.48550/arxiv.2209.09807","title":"","year":2022,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Educational Games and Gamification","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design; Carleton University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Austrian Science Fund; Agence Nationale de la Recherche","keywords":"Visualization; Craft; Computer science; Point (geometry); Human–computer interaction; Information visualization; Mathematics education; Creative visualization; Multimedia; Psychology; Artificial intelligence; Visual arts","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005852837,0.000526595,0.0004959123,0.0004898326,0.0004422693,0.00007045784,0.001872976,0.0004921178,0.005954719],"category_scores_gemma":[0.00004886891,0.0007145948,0.0004862855,0.0008426094,0.0002183385,0.0001591906,0.001732676,0.001761743,0.0001741061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007316673,"about_ca_system_score_gemma":0.0003223584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002100604,"about_ca_topic_score_gemma":0.0001168576,"domain_scores_codex":[0.9957511,0.000719227,0.0004290371,0.002309102,0.000151455,0.0006400128],"domain_scores_gemma":[0.996012,0.0003171921,0.0006911773,0.00246291,0.0002201953,0.000296548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003602059,0.001044445,0.09707796,0.0000641583,0.0004908407,0.0003237193,0.006690431,0.1925959,0.00001984184,0.6984732,0.002270652,0.0005885616],"study_design_scores_gemma":[0.002280845,0.0003210131,0.7399753,0.00006559136,0.000690171,0.00003055201,0.03972613,0.007761071,0.00001187831,0.157361,0.04973907,0.002037385],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713396,0.0003410491,0.009450058,0.001105566,0.004197568,0.0007963369,0.0001774881,0.0003096174,0.01228273],"genre_scores_gemma":[0.965953,0.0001497865,0.0001068601,0.000561017,0.0003384246,0.00003243798,0.0006860169,0.00006317876,0.03210928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6428973,"threshold_uncertainty_score":0.9995305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1257454211302472,"score_gpt":0.2490534244633869,"score_spread":0.1233080033331398,"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."}}