{"id":"W2127307549","doi":"10.29173/slw6773","title":"School Libraries Serving Rural Communities in China: The Evergreen Model","year":2001,"lang":"en","type":"article","venue":"School Libraries Worldwide","topic":"Library Science and Administration","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"School library; Brainstorming; China; Evergreen; Public relations; Sociology; Library science; Focus group; Political science; Business; Marketing; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.00189838,0.000393016,0.0003004109,0.00229434,0.008130329,0.006317674,0.001979601,0.001271273,0.005708665],"category_scores_gemma":[0.002171359,0.0004206927,0.0003307024,0.002760132,0.006561647,0.006025763,0.00562671,0.0008018685,0.0007096538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005592985,"about_ca_system_score_gemma":0.01060893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03531092,"about_ca_topic_score_gemma":0.08563585,"domain_scores_codex":[0.9981052,0.0007606776,0.00003405906,0.0002212997,0.000257756,0.0006211004],"domain_scores_gemma":[0.9983398,0.0003116221,0.0002480112,0.000147292,0.0002403284,0.0007129618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005080005,0.002510322,0.2905205,0.0006543107,0.0001435376,0.01528335,0.2788631,0.009572373,0.003908691,0.2548679,0.008798175,0.1343698],"study_design_scores_gemma":[0.0003292187,0.001742559,0.09475963,0.0003949455,0.0001579988,0.004042724,0.7257153,0.02565651,0.001846364,0.05125336,0.09395728,0.0001441104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.932297,0.0002250568,0.002205339,0.002529309,0.00001204318,0.0001751517,0.00003144506,0.00006818838,0.06245643],"genre_scores_gemma":[0.9934078,0.0001837301,0.0006946061,0.0001891227,0.000005174491,0.00004515582,0.00001416491,0.000008422635,0.005451716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03531092,"threshold_uncertainty_score":0.07021075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02651257896929458,"score_gpt":0.2697449754715218,"score_spread":0.2432323965022272,"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."}}