{"id":"W3110479086","doi":"10.19173/irrodl.v21i4.4677","title":"E-Learning Challenges in Iran: A Research Synthesis","year":2020,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sociocultural evolution; Knowledge management; Content analysis; Educational technology; Statistical analysis; E learning; Field (mathematics); Population; Statistical population; Distance education; Mathematics education; Computer science; Psychology; Social science; Sociology; Statistics; Mathematics; Descriptive statistics; Anthropology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01138431,0.0007957499,0.001462119,0.01633025,0.001812499,0.00514315,0.0008610532,0.001280858,0.002531725],"category_scores_gemma":[0.02360162,0.0004444634,0.001346785,0.01384005,0.001576749,0.005435113,0.002286489,0.001373467,0.0002012713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006022225,"about_ca_system_score_gemma":0.01727995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004393544,"about_ca_topic_score_gemma":0.008852261,"domain_scores_codex":[0.9946057,0.001828532,0.001366844,0.0004464511,0.0014203,0.0003322176],"domain_scores_gemma":[0.9778013,0.01649472,0.002104455,0.0003698901,0.002922616,0.0003071559],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0003119771,0.000317989,0.02099361,0.3994408,0.001611778,0.002679514,0.1295441,0.001017477,0.002186212,0.033923,0.01148299,0.3964905],"study_design_scores_gemma":[0.00007277997,0.0004618794,0.0434956,0.3357691,0.003645082,0.002482656,0.3283709,0.0005120757,0.001200773,0.009321177,0.2745603,0.0001078014],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1041875,0.8546432,0.003178865,0.01474037,0.001302592,0.00227639,0.001261501,0.00002004114,0.01838959],"genre_scores_gemma":[0.4104377,0.5753695,0.006570224,0.003298586,0.0005248197,0.002040061,0.000567927,0.00001607549,0.001175164],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9886157,"threshold_uncertainty_score":0.06020671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3493533129689518,"score_gpt":0.5206475944666711,"score_spread":0.1712942814977193,"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."}}