{"id":"W2767667671","doi":"10.5430/elr.v6n4p13","title":"Information and Communication Technology and the Learning of English Phonetics in Selected Secondary Schools in Nigeria: A Case Study","year":2017,"lang":"en","type":"article","venue":"English Linguistics Research","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Local government area; Information and Communications Technology; Government (linguistics); Test (biology); Sample (material); Mathematics education; Descriptive statistics; Local government; Rural area; Psychology; Medical education; Geography; Mathematics; Medicine; Political science; Statistics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005134342,0.00005723544,0.0001415686,0.0006728289,0.0009720241,0.0002310799,0.0003337953,0.0001899808,0.000006858213],"category_scores_gemma":[0.3067568,0.00005168908,0.000006638866,0.0007122565,0.001259767,0.0001423658,0.0001967197,0.001567816,7.611991e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007401129,"about_ca_system_score_gemma":0.0003566444,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006705655,"about_ca_topic_score_gemma":0.03255602,"domain_scores_codex":[0.9984435,0.0007391783,0.0002977049,0.00009809047,0.0002273884,0.000194093],"domain_scores_gemma":[0.9938493,0.0007144132,0.0001512263,0.0003457631,0.004907581,0.00003167918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004023893,0.0001061428,0.5187703,0.00002015955,0.000009720996,0.00000949436,0.3970753,0.000004073852,0.000002976333,0.07902737,0.0001171406,0.004817011],"study_design_scores_gemma":[0.001774593,0.00009919438,0.01628328,0.00005637747,0.000004474442,0.000001400184,0.9600663,0.00033714,0.00005811558,0.005722424,0.01551664,0.00008002363],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851903,0.0001773809,0.000005776438,0.0003691651,0.0002271404,0.0005865099,0.000001512721,0.00003564638,0.01340652],"genre_scores_gemma":[0.9991254,0.0004499831,0.0001810681,0.000004404137,0.0001168195,0.00006505507,0.000004049905,0.000004082663,0.00004915204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.562991,"threshold_uncertainty_score":0.9999088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03454631890281245,"score_gpt":0.400442494931203,"score_spread":0.3658961760283906,"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."}}