{"id":"W317462284","doi":"10.29173/slw6841","title":"Preparing school librarians in rural areas through distance education and communities of practice","year":2007,"lang":"en","type":"article","venue":"School Libraries Worldwide","topic":"Web and Library Services","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distance education; Sociology; School library; Institution; Service (business); Pedagogy; Higher education; Medical education; Library science; Political science; Medicine; Computer science; Social science; Business","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004065591,0.0002267663,0.0002841979,0.0002432203,0.0001806546,0.0007740807,0.001193265,0.00008634823,0.00005402244],"category_scores_gemma":[0.0002064201,0.0002259383,0.00004597619,0.000987769,0.000154621,0.02026825,0.0006729557,0.0004054804,0.00001479819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003181296,"about_ca_system_score_gemma":0.000541872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000976016,"about_ca_topic_score_gemma":0.0008192721,"domain_scores_codex":[0.9982911,0.0001927159,0.0005592943,0.000279167,0.0002777804,0.0003999099],"domain_scores_gemma":[0.9978549,0.0007612255,0.0002913187,0.0008339601,0.00005665837,0.0002018918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001735622,0.0002657151,0.3310066,0.0001436505,0.00003639284,0.000009221792,0.01042891,0.00003854833,0.00007684663,0.6449666,0.003243756,0.009610202],"study_design_scores_gemma":[0.001061692,0.0001543176,0.6701384,0.001029611,0.00002763381,0.00007042538,0.0382706,0.001035659,0.003769649,0.1243008,0.1592962,0.0008449845],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5029886,0.01581319,0.05629537,0.01156946,0.001422819,0.001028595,0.00001657736,0.0008004618,0.4100649],"genre_scores_gemma":[0.8967969,0.0001819982,0.09913187,0.002624576,0.000139831,0.00001934301,0.00001929276,0.00002137353,0.001064773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5206658,"threshold_uncertainty_score":0.9934348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008475629379043571,"score_gpt":0.2456199877182545,"score_spread":0.237144358339211,"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."}}