{"id":"W2223115272","doi":"","title":"E-Learning for Teacher Development: Global Perspectives of Policy and Planning Issues","year":2005,"lang":"en","type":"article","venue":"Society for Information Technology & Teacher Education International Conference","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Context (archaeology); Session (web analytics); Blended learning; Panel discussion; Pedagogy; Public relations; Political science; Educational technology; Knowledge management; Psychology; Computer science; Business; World Wide Web; Geography","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":[0.0004742313,0.00009853807,0.0001154963,0.0001693879,0.0003896394,0.00008230595,0.0002429108,0.0002020144,0.00007186551],"category_scores_gemma":[0.001218691,0.0001082526,0.00008049651,0.0002360872,0.0002293856,0.0008741586,0.00004252544,0.0001725402,0.000005206896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003775907,"about_ca_system_score_gemma":0.001601316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006634736,"about_ca_topic_score_gemma":0.00002228832,"domain_scores_codex":[0.9991708,0.00001910331,0.0003034815,0.0001319143,0.0001886464,0.0001860331],"domain_scores_gemma":[0.9986475,0.00005152862,0.0002896497,0.00006319322,0.0009094186,0.00003873358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001368214,0.00008280143,0.01238811,0.00002405378,0.000072002,3.146729e-9,0.09193346,0.00003508823,0.00002407963,0.4349455,0.00177411,0.4587071],"study_design_scores_gemma":[0.0002533739,0.00002832127,0.001228599,0.00003427029,0.00001029712,7.065922e-7,0.3453441,0.00101852,0.0001223924,0.004154492,0.647698,0.0001068432],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7768848,0.0009637802,0.06328959,0.09415736,0.0005663778,0.001359619,0.00003548324,0.0005881912,0.06215483],"genre_scores_gemma":[0.9169797,0.00009866677,0.0787293,0.0001109053,0.0004728204,0.000153882,0.00009198505,0.000005267734,0.003357434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.645924,"threshold_uncertainty_score":0.4414414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02062106098626966,"score_gpt":0.3820824615554774,"score_spread":0.3614614005692078,"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."}}