{"id":"W4300485737","doi":"10.25078/yb.v5i2.723","title":"MOTHER TONGUE-BASED MULTI-LANGUAGE LEARNING IN READING: DEVELOPING PARENT INFORMATIONAL SHEET","year":2022,"lang":"en","type":"article","venue":"Yavana Bhasha Journal of English Language Education","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cronbach's alpha; First language; Language acquisition; Context (archaeology); Indonesian; Psychology; Computer science; Focus group; Language development; Mathematics education; Developmental psychology; Linguistics; Psychometrics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001769693,0.0001417814,0.0002049767,0.000666131,0.0001590662,0.0001082314,0.0006505696,0.00004095743,0.0001747482],"category_scores_gemma":[0.002806539,0.0001414276,0.00008286294,0.0006503071,0.00001923368,0.0007463179,0.00009743969,0.0005731762,0.000003953698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005576283,"about_ca_system_score_gemma":0.002269739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006747838,"about_ca_topic_score_gemma":0.00002116856,"domain_scores_codex":[0.9980632,0.0003672048,0.0005961591,0.0001789603,0.000552311,0.0002421483],"domain_scores_gemma":[0.9982575,0.0003548282,0.0005526193,0.0002236807,0.0004849919,0.0001263825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005756207,0.001291388,0.02599455,0.0001184578,0.00006246916,0.00004750756,0.5311764,0.0302656,0.001216566,0.009002829,0.003877314,0.3968894],"study_design_scores_gemma":[0.007093243,0.0008916934,0.1011113,0.0009868661,0.00008578047,0.000269398,0.6414878,0.06908236,0.005222911,0.0009407786,0.1707363,0.002091638],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9152776,0.001603761,0.07385892,0.001631179,0.006088371,0.0002632205,0.000004927396,0.00006477284,0.001207233],"genre_scores_gemma":[0.7129024,0.00001547058,0.2849302,0.0009817217,0.0007306624,0.0000483117,0.00004228029,0.00001763568,0.0003313863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3947977,"threshold_uncertainty_score":0.5767252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0240378497998972,"score_gpt":0.3236105772166833,"score_spread":0.2995727274167861,"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."}}