{"id":"W3126477664","doi":"10.29173/iasl7618","title":"Emergent Literacy and Reading for Children of Taipei","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading (process); Literacy; Competence (human resources); Variety (cybernetics); Psychology; Pedagogy; Political science; Computer science; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003531493,0.0002651231,0.0002719666,0.0006817296,0.001234988,0.001245984,0.0002575407,0.0005501193,0.003975831],"category_scores_gemma":[0.001601172,0.0001789053,0.0003369581,0.0006115428,0.0006388546,0.0009038626,0.001123429,0.0009779196,0.0002772903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146445,"about_ca_system_score_gemma":0.001789363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02195903,"about_ca_topic_score_gemma":0.04271246,"domain_scores_codex":[0.9997768,0.00004204793,0.00001842623,0.00004285894,0.00003311519,0.00008670517],"domain_scores_gemma":[0.9993236,0.0001707076,0.0002244266,0.00004776928,0.00007056268,0.0001630214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001557728,0.0005389712,0.8406314,0.000245599,0.00003374618,0.007242512,0.1049993,0.00006121779,0.00280155,0.002945327,0.004037253,0.03630741],"study_design_scores_gemma":[0.00001493635,0.0002444535,0.9544652,0.00008966633,0.00003336597,0.001669048,0.03376334,0.00007968497,0.0003751019,0.0006876488,0.008556928,0.00002075193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967206,0.0002181543,0.00002048615,0.0004455495,0.000007229603,0.000008036014,0.00007563849,0.000006416635,0.002497819],"genre_scores_gemma":[0.9961068,0.0004175818,0.0001489509,0.00009901114,0.000005588768,0.00003548308,0.0002284581,0.00000522177,0.002952914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02195903,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02524145680232953,"score_gpt":0.321481664994372,"score_spread":0.2962402081920424,"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."}}