{"id":"W2388006306","doi":"","title":"The Comparative Analysis on the Development Histories of Domestic and Foreign Public Library Systems","year":2012,"lang":"en","type":"article","venue":"Sci-Tech Information Development & Economy","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lawmaking; Beijing; Political science; Library classification; Library science; Public administration; Economic growth; China; Legislature; Law; Economics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001454122,0.00008896684,0.000166946,0.004054446,0.003400181,0.004309929,0.0003915346,0.0003157041,0.01170656],"category_scores_gemma":[0.005151836,0.0001796406,0.0001752374,0.006549331,0.003274075,0.003361067,0.00234843,0.0006245548,0.0006265314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01191219,"about_ca_system_score_gemma":0.004457429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09941795,"about_ca_topic_score_gemma":0.1707302,"domain_scores_codex":[0.9986921,0.0005705065,0.00004302881,0.00008365242,0.0001711201,0.0004397389],"domain_scores_gemma":[0.9965508,0.00116971,0.0005299173,0.000174037,0.0009529565,0.0006224754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003264191,0.00008044695,0.253116,0.0004020488,0.00006039973,0.001251545,0.3349386,0.001057302,0.0009309357,0.2638631,0.007412162,0.136561],"study_design_scores_gemma":[0.00001833254,0.0001199193,0.5747188,0.0002494536,0.00005522227,0.0006588064,0.2768838,0.0004704127,0.001353431,0.004015949,0.1414125,0.00004344315],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8248917,0.003855621,0.0004443917,0.001962517,0.00001984639,0.00002744408,0.0004294704,0.00002651826,0.1683425],"genre_scores_gemma":[0.9942767,0.0008386513,0.00007262866,0.00005297359,0.000005408198,0.000009382605,0.00009189382,0.000009152696,0.004643184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09941795,"threshold_uncertainty_score":0.1976786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0510906318749184,"score_gpt":0.2730402988711348,"score_spread":0.2219496669962164,"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."}}