{"id":"W4307865483","doi":"10.5430/wjel.v12n7p28","title":"Did they Manage to Meet Students’ Needs? English Language Instructors’ Experiences of Remote Instruction Differentiation","year":2022,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Context (archaeology); English language; Computer science; Mathematics education; Relevance (law); Psychology; Pedagogy; Qualitative research; Sociology; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001045319,0.0001641715,0.0003781936,0.001090067,0.0004989093,0.00008140717,0.0009071251,0.00005586684,0.000443343],"category_scores_gemma":[0.002044004,0.0001595416,0.0001434009,0.001515128,0.0001624416,0.0004064722,0.0003036241,0.0003483737,0.000001224964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004093325,"about_ca_system_score_gemma":0.00009741374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003990665,"about_ca_topic_score_gemma":0.002074662,"domain_scores_codex":[0.9974629,0.0002901823,0.0006241756,0.0001956967,0.001109479,0.0003175908],"domain_scores_gemma":[0.9982457,0.0001210927,0.0007373298,0.0002714691,0.0005014209,0.0001230004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004443472,0.00007630279,0.00402728,0.00001036012,0.0000692216,0.000008403234,0.9793031,0.00003090582,0.0006286275,0.001469761,0.001230502,0.01310109],"study_design_scores_gemma":[0.0004850527,0.0001012612,0.004527348,0.00003949183,0.00003740056,0.000002075504,0.9710078,8.908302e-7,0.001867509,0.0001794549,0.02159281,0.0001589174],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853366,0.0005751649,0.00004594709,0.0001390964,0.005724417,0.0002468578,0.00001123375,0.0001675471,0.007753113],"genre_scores_gemma":[0.9963415,0.00005183411,0.001029455,0.00008413532,0.001181742,0.00001991685,0.000003326046,0.0000189947,0.001269115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02036231,"threshold_uncertainty_score":0.6505919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009970020373074333,"score_gpt":0.2984255904782657,"score_spread":0.2884555701051914,"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."}}