{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01962836,0.0004513621,0.0004333335,0.001621796,0.0007772708,0.001226301,0.001096044,0.0006164769,0.003249409],"category_scores_gemma":[0.02730978,0.0005353553,0.0005875626,0.0006834278,0.0003809965,0.001545391,0.001876457,0.0008382753,0.001891994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009750354,"about_ca_system_score_gemma":0.004463527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001316352,"about_ca_topic_score_gemma":0.002577027,"domain_scores_codex":[0.9956636,0.002252121,0.0008088848,0.0002096836,0.000898871,0.0001668386],"domain_scores_gemma":[0.9817314,0.008732409,0.002454588,0.001385812,0.004754664,0.0009411474],"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":[0.0002973169,0.00227022,0.2438076,0.001141407,0.00003596597,0.001259553,0.05168331,0.0007391758,0.005306572,0.001278399,0.01604236,0.6761382],"study_design_scores_gemma":[0.0002356144,0.00482627,0.7426717,0.00366661,0.0001845218,0.003282014,0.07945919,0.009014071,0.02336878,0.003115972,0.1299445,0.0002307726],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9112655,0.0005277463,0.04154082,0.002822982,0.0002682972,0.01535445,0.002577721,0.0008759839,0.02476656],"genre_scores_gemma":[0.6331218,0.002444249,0.3282871,0.0005622255,0.0000715112,0.02039669,0.003444944,0.0001142263,0.01155722],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01962836,"threshold_uncertainty_score":0.103806,"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."}}