{"id":"W2942511022","doi":"10.1145/3290607.3312756","title":"Character Alive","year":2019,"lang":"en","type":"article","venue":"","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Handwriting; Character (mathematics); Spelling; Writing system; Reading (process); Human–computer interaction; Chinese characters; Literacy; Augmented reality; Multimedia; Artificial intelligence; Linguistics; Psychology","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":[0.0004592037,0.0008209098,0.0004529838,0.0007244463,0.0006303675,0.001605011,0.00121819,0.0009653557,0.08924209],"category_scores_gemma":[0.001699723,0.0003740068,0.0004978924,0.0003302812,0.0003743225,0.002352854,0.002968682,0.0007128902,0.02308366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002804232,"about_ca_system_score_gemma":0.0005187985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007564641,"about_ca_topic_score_gemma":0.001316643,"domain_scores_codex":[0.9995425,0.00005852952,0.00003931495,0.0001272342,0.0001767435,0.00005581465],"domain_scores_gemma":[0.9993312,0.0001492677,0.00003419355,0.0001681934,0.0001596132,0.0001575257],"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":[0.001312682,0.0002754861,0.003705623,0.001416461,0.00006149793,0.001316776,0.002016231,0.00112088,0.04640501,0.02597888,0.2138181,0.7025724],"study_design_scores_gemma":[0.00007621822,0.0003623702,0.00226305,0.0001314703,0.00005855765,0.001865555,0.0002822279,0.005699144,0.01347459,0.002682709,0.9730191,0.000085021],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04941938,0.003008011,0.4364279,0.001666349,0.002182766,0.001238609,0.007987424,0.1268873,0.3711822],"genre_scores_gemma":[0.269194,0.002077308,0.2392092,0.001729054,0.0003605721,0.001162089,0.0140646,0.01036298,0.4618402],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08924209,"threshold_uncertainty_score":0.2985445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627604726513145,"score_gpt":0.3308195023078479,"score_spread":0.3145434550427165,"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."}}