{"id":"W3039493829","doi":"10.1016/j.ecresq.2020.06.004","title":"Do pinyin and character recognition help each other grow?","year":2020,"lang":"en","type":"article","venue":"Early Childhood Research Quarterly","topic":"Reading and Literacy Development","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Pinyin; Character (mathematics); Reciprocal; Psychology; Phonological awareness; Character recognition; Linguistics; Chinese characters; Computer science; Literacy; Artificial intelligence; Mathematics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001058414,0.0002200228,0.0002560955,0.0002557671,0.0002619396,0.0003734637,0.0002860162,0.0001692686,0.002058254],"category_scores_gemma":[0.00007319552,0.000196013,0.00007108728,0.0004331011,0.0001314178,0.000299317,0.00004041456,0.0009101101,0.005705846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002995087,"about_ca_system_score_gemma":0.00005895743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002453965,"about_ca_topic_score_gemma":0.000003807195,"domain_scores_codex":[0.9968607,0.0006875506,0.0003623405,0.0007406032,0.0005922223,0.0007565204],"domain_scores_gemma":[0.998789,0.0002046463,0.00006808568,0.0003486347,0.0001535648,0.0004360651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002053632,0.0003897841,0.01412943,0.00003527636,0.0002028242,0.00010948,0.3175561,1.687217e-8,0.001695484,0.000561755,0.0251819,0.6399326],"study_design_scores_gemma":[0.001838539,0.002788422,0.9370564,0.0001375051,0.00001218608,0.00004318867,0.004641811,0.000003759897,0.0002345902,0.001882247,0.05090757,0.0004537371],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758032,0.0003716922,0.00006915338,0.007499133,0.0002564474,0.0005494485,0.00004446218,0.0001301832,0.01527628],"genre_scores_gemma":[0.9950461,0.0000128297,0.0002832199,0.001089796,0.0008844293,0.0001372312,0.00004005661,0.00006008152,0.002446222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.922927,"threshold_uncertainty_score":0.998854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07369749926284772,"score_gpt":0.3468909224457052,"score_spread":0.2731934231828576,"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."}}