{"id":"W2373449172","doi":"","title":"What Can We Learn from Canadian Post-Secondary Distance Education","year":2005,"lang":"en","type":"article","venue":"Journal of Guangdong Radio and Tv University","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distance education; Government (linguistics); Transferability; Quality (philosophy); Mathematics education; Control (management); Selection (genetic algorithm); Political science; Computer science; Artificial intelligence; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000275607,0.00007524065,0.0001236533,0.0002273017,0.0002199548,0.0001670854,0.0003848479,0.00004754896,0.0000673626],"category_scores_gemma":[0.00002053171,0.00007539697,0.00005316978,0.0001567665,0.00003605642,0.001395086,0.00002860838,0.0002638585,0.000004411748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003062164,"about_ca_system_score_gemma":0.001455394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01440215,"about_ca_topic_score_gemma":0.02569658,"domain_scores_codex":[0.9993428,0.0001421524,0.0001204716,0.0001304505,0.0001190189,0.0001450902],"domain_scores_gemma":[0.9991547,0.00006904038,0.0001417423,0.0001656483,0.0001294622,0.0003394303],"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":[0.00002435843,0.0001411588,0.01264559,0.00001229146,0.00007476128,0.00007196575,0.02523561,0.00002765526,0.0001879669,0.02609556,0.01142095,0.9240621],"study_design_scores_gemma":[0.0003914226,0.00005360629,0.1250762,0.00007121269,0.00002322901,0.0001023765,0.004069284,0.0002150013,0.00007923834,0.0008653748,0.8688952,0.0001578101],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9043691,0.005015933,0.02645264,0.05771206,0.003110665,0.00007065176,0.00001223948,0.00002706255,0.003229624],"genre_scores_gemma":[0.9593712,0.0007810036,0.03491998,0.0009682448,0.0003353778,4.276982e-8,0.00000295555,0.000004618435,0.00361654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9239043,"threshold_uncertainty_score":0.992161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025972414973358,"score_gpt":0.2429712082944243,"score_spread":0.2327114841446907,"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."}}