{"id":"W2159574644","doi":"10.5539/ies.v6n12p64","title":"Teacher’s Professional Use of Information and Communication Technology in Secondary Schools in Tamil Nadu, India","year":2013,"lang":"en","type":"article","venue":"International Education Studies","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tamil; Information and Communications Technology; Data collection; The Internet; Descriptive statistics; Significant difference; Psychology; Mathematics education; Medical education; Sociology; Social science; Mathematics; Computer science; Medicine; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003834465,0.00007587074,0.0001250736,0.0009157239,0.0001134233,0.00004119845,0.0002248622,0.0001446875,0.00008064823],"category_scores_gemma":[0.002087682,0.00007832407,0.00001382712,0.0004572517,0.0002838957,0.001381531,0.0001017467,0.0003190021,0.00002246361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002658164,"about_ca_system_score_gemma":0.0005981994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003947131,"about_ca_topic_score_gemma":0.001404989,"domain_scores_codex":[0.9990802,0.0001034515,0.0003936428,0.0001124851,0.0001865659,0.0001236725],"domain_scores_gemma":[0.9986107,0.0001528833,0.0002067211,0.0001376347,0.0008686057,0.0000234771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006183026,0.0002655933,0.8123762,0.00001923516,0.00003293658,5.740692e-8,0.02742552,0.000003104121,0.00007964172,0.06285135,0.007438548,0.0895016],"study_design_scores_gemma":[0.0002251226,0.00001009956,0.732406,0.0001129864,0.0000032535,0.000001393064,0.1736485,0.00001396253,0.00007567432,0.07642727,0.01698725,0.00008847392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653387,0.0008485956,0.00001047108,0.02980006,0.0009018959,0.0003578962,0.000003405407,0.00003115549,0.002707809],"genre_scores_gemma":[0.9951425,0.001087274,0.002428215,0.0002623223,0.00002672763,0.0003993496,0.00003204494,0.000003367136,0.0006181545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.146223,"threshold_uncertainty_score":0.5966907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04166469213708145,"score_gpt":0.394623382269805,"score_spread":0.3529586901327236,"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."}}