{"id":"W2949260829","doi":"10.56059/jl4d.v6i1.326","title":"The Effects of Institutional Support Factors on Lecturer adoption of eLearning at a Conventional University","year":2019,"lang":"en","type":"article","venue":"Journal of Learning for Development","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perception; Knowledge management; Institution; Higher education; Process (computing); Sample (material); Business; Psychology; Medical education; Public relations; Sociology; Political science; Computer science; Medicine; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001295955,0.00006885202,0.000165885,0.0001196318,0.0005918942,0.00001019,0.0001431263,0.00006288051,0.0000802846],"category_scores_gemma":[0.0006246666,0.00005119461,0.0001339723,0.0001286673,0.00009352122,0.0001065678,0.00002725585,0.0002601206,0.000006972449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002766583,"about_ca_system_score_gemma":0.001092013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004839218,"about_ca_topic_score_gemma":0.00001747149,"domain_scores_codex":[0.9987828,0.0002027189,0.0002807588,0.00007555589,0.0005048343,0.0001533606],"domain_scores_gemma":[0.9982353,0.0007257397,0.0006556549,0.0000346262,0.0002982264,0.00005037874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001448717,0.0004006166,0.791236,0.000480108,0.0007934435,0.0000176928,0.02300186,0.02625656,0.009839348,0.03332878,0.0009532479,0.1122436],"study_design_scores_gemma":[0.0009352806,0.0005928226,0.1207123,0.000211029,0.00002769341,0.000003116556,0.002479691,0.00003387667,0.002549678,0.00003694268,0.8723277,0.00008978263],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974938,0.00003710739,0.0009472632,0.0001737523,0.0004254893,0.0001317118,4.383992e-7,0.000005279674,0.0007851439],"genre_scores_gemma":[0.9930083,0.00004855335,0.001798451,0.000005057014,0.00005504561,3.164429e-7,0.00000695187,0.000004779554,0.005072562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8713745,"threshold_uncertainty_score":0.4552431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297071352196845,"score_gpt":0.2676567060489484,"score_spread":0.2546859925269799,"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."}}