{"id":"W3112926432","doi":"10.3233/icg-200170","title":"A polyomino puzzle for arithmetic practice","year":2020,"lang":"en","type":"article","venue":"ICGA Journal","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"sort; Simple (philosophy); Computer science; Generator (circuit theory); Measure (data warehouse); Space (punctuation); Arithmetic; Variety (cybernetics); Evolutionary algorithm; Theoretical computer science; Algorithm; Mathematics; Artificial intelligence; Data mining; Epistemology","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":[0.0004372489,0.00009911117,0.0001292461,0.00005222433,0.0002498601,0.0005015663,0.0009218595,0.00004373868,0.00005076315],"category_scores_gemma":[0.001321482,0.00008808258,0.000105303,0.000234392,0.00003721215,0.001039062,0.0001220387,0.000276447,0.0001992928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000347737,"about_ca_system_score_gemma":0.0001202695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005508225,"about_ca_topic_score_gemma":0.000001713645,"domain_scores_codex":[0.99884,0.00006943929,0.0002998209,0.0002149908,0.0002825957,0.0002931368],"domain_scores_gemma":[0.9986834,0.0004323108,0.0001944033,0.0001930202,0.0002390079,0.0002578881],"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":[0.0002380035,0.0003448735,0.0003501861,0.00004214352,0.0001785626,0.0005179887,0.01545356,0.001339075,0.008955893,0.1756774,0.08088394,0.7160184],"study_design_scores_gemma":[0.0003730094,0.0007672688,0.000115198,0.00003421732,0.00004432731,0.001708924,0.001247799,0.2069958,0.02896214,0.02615877,0.7331668,0.0004257328],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001335102,0.0003103351,0.9376467,0.0580156,0.0006439881,0.0001220652,0.000001313254,0.00006706381,0.00185779],"genre_scores_gemma":[0.560578,0.0000453697,0.428987,0.008760006,0.001365062,0.00001222342,2.791259e-7,0.00001783217,0.0002341645],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7155927,"threshold_uncertainty_score":0.4836615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06772812399629113,"score_gpt":0.3315771640475728,"score_spread":0.2638490400512816,"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."}}