{"id":"W3125932692","doi":"10.33394/jollt.v9i1.3449","title":"USING MOBILE-BASED FORMATIVE ASSESSMENT IN ESL/EFL SPEAKING","year":2021,"lang":"en","type":"article","venue":"Journal of Languages and Language Teaching","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Formative assessment; Globe; Computer science; Mobile device; Mathematics education; Language acquisition; Qualitative research; Psychology; Multimedia; World Wide Web; Sociology","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":[0.01321416,0.0003004041,0.0003866566,0.002446068,0.001127062,0.003043688,0.0006432097,0.000666547,0.002235409],"category_scores_gemma":[0.02658851,0.0001616071,0.0003068633,0.001425606,0.001474153,0.002878367,0.00207701,0.0007144299,0.0006145852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001515512,"about_ca_system_score_gemma":0.003667529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001385322,"about_ca_topic_score_gemma":0.003131032,"domain_scores_codex":[0.9879994,0.00877309,0.000610469,0.0004932944,0.001665324,0.0004584351],"domain_scores_gemma":[0.9842418,0.0116809,0.001245064,0.00045928,0.001937735,0.0004351703],"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":[0.0001214389,0.0008187353,0.02859635,0.002523336,0.00003093438,0.001070091,0.185334,0.0003606738,0.007064435,0.008547115,0.00189475,0.7636383],"study_design_scores_gemma":[0.0001141601,0.003850701,0.1476547,0.01854624,0.0002478478,0.006227668,0.5130187,0.003826906,0.02210084,0.02550251,0.2585632,0.0003465303],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8122482,0.008636019,0.0710255,0.004813536,0.0003153266,0.002484932,0.0002568466,0.0002108109,0.1000088],"genre_scores_gemma":[0.9488608,0.00406624,0.04153222,0.0005234564,0.00005667927,0.001016241,0.0000588687,0.00002439264,0.003861059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01321416,"threshold_uncertainty_score":0.06988394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01608258791666378,"score_gpt":0.3647009848461089,"score_spread":0.3486183969294451,"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."}}