{"id":"W2014229247","doi":"10.1109/iri.2010.5558924","title":"The power of genetic algorithm in automated assessment of school readiness","year":2010,"lang":"en","type":"article","venue":"","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Session (web analytics); Computer science; Genetic algorithm; Test (biology); Machine learning; Selection (genetic algorithm); Heuristic; Artificial intelligence; Human–computer interaction; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002926945,0.0007072571,0.0007712318,0.001446496,0.0004335656,0.0009483732,0.0008174794,0.0010434,0.0009369562],"category_scores_gemma":[0.01393079,0.0003272269,0.0003673074,0.0008161282,0.000901214,0.0009166123,0.0005060268,0.0007392527,0.0002100795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000836484,"about_ca_system_score_gemma":0.001438604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01454228,"about_ca_topic_score_gemma":0.00885941,"domain_scores_codex":[0.9984005,0.001010645,0.00006858274,0.0001863796,0.0002577639,0.00007609132],"domain_scores_gemma":[0.9930779,0.005894737,0.0002445798,0.000238743,0.000478251,0.00006575747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001220147,0.0000910242,0.003461388,0.00003553057,0.00007102588,0.00005447171,0.00007211362,0.845436,0.001607806,0.005063104,0.0004947716,0.1434908],"study_design_scores_gemma":[0.00001922822,0.00003336157,0.0004233085,0.000006059397,0.000009665497,0.00001656014,0.000007678893,0.9969886,0.0004717655,0.001787012,0.0002276923,0.000009038184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0871141,0.0001974192,0.9084198,0.0002531982,0.00002456697,0.0001088247,0.00003099237,0.001165209,0.00268589],"genre_scores_gemma":[0.5124018,0.0001307832,0.4857174,0.0001288465,0.00003080252,0.0002055873,0.00008354368,0.0001187488,0.001182455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01454228,"threshold_uncertainty_score":0.02891529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673761865779764,"score_gpt":0.3326851298450941,"score_spread":0.3159475111872964,"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."}}